Sentiment_Analysis_Muammar_Yasir_202010225067.ipynb

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      "cell_type": "markdown",
      "source": [
        "# Asynchronous Task 2 - Machine Learning\n",
        "---"
      ],
      "metadata": {
        "id": "bfyd-DCtrlTk"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "あなたは何が起こっても、諦めるべきではありません !!\n",
        "\n",
        "(Kamu seharusnya tidak menyerah terhadap apapun yang terjadi padamu)."
      ],
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      "outputs": [
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          "output_type": "stream",
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          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Import Modulus"
      ],
      "metadata": {
        "id": "XSJr0hYUraqq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import time\n",
        "import pandas as pd\n",
        "from matplotlib import pyplot as plt\n",
        "import seaborn as sns\n",
        "from sklearn import svm\n",
        "from sklearn.metrics import classification_report, confusion_matrix\n",
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "from sklearn.svm import SVC\n",
        "from sklearn.model_selection import train_test_split"
      ],
      "metadata": {
        "id": "BRuvpDtpsZvK"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import string, re\n",
        "\n",
        "\n",
        "!pip install Sastrawi\n",
        "from Sastrawi.Stemmer.StemmerFactory import StemmerFactory\n",
        "from Sastrawi.StopWordRemover.StopWordRemoverFactory import StopWordRemoverFactory"
      ],
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        },
        "id": "_TgaGXykWGie",
        "outputId": "ea875a6e-162b-4a62-b191-16db01eba380"
      },
      "execution_count": 37,
      "outputs": [
        {
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          "name": "stdout",
          "text": [
            "Collecting Sastrawi\n",
            "  Downloading Sastrawi-1.0.1-py2.py3-none-any.whl (209 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m209.7/209.7 kB\u001b[0m \u001b[31m1.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: Sastrawi\n",
            "Successfully installed Sastrawi-1.0.1\n"
          ]
        }
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    },
    {
      "cell_type": "markdown",
      "source": [
        "## Data Description\n",
        "\n",
        "- Sentiment : label of dataset (Positive or Negative)\n",
        "- Customer Review : Raw data of customer review\n",
        "- corpus : Lowercase version of Customer Review\n"
      ],
      "metadata": {
        "id": "AHMbd5jkvyLl"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Load Data"
      ],
      "metadata": {
        "id": "zxo4lxY9suYs"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "pth = '/content/drive/MyDrive/Machine Learning/Asynchronous Task/Tugas Classification/'"
      ],
      "metadata": {
        "id": "9VvzqG4dpfVu"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv(pth+'sample_data.csv')\n",
        "print(df.shape)\n",
        "df.head()"
      ],
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          "height": 293
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        "id": "Q1pXX-CUshgX",
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      "execution_count": 48,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(1200, 3)\n"
          ]
        },
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            "text/plain": [
              "  Sentiment                                    Customer Review  \\\n",
              "0  Positive  Barang bagus, pengiriman juga cepat. Cuma minu...   \n",
              "1  Positive  LENGKAP BAGUS PENGIRIMAN CEPAT DAN TEPAT TERPE...   \n",
              "2  Positive           Bahan tipis, seller ramah, ekspedisi cpt   \n",
              "3  Positive  produk asli original. suplemen bagus tanpa efe...   \n",
              "4  Positive  Model dan warna aku suka tp pemasangan sedikit...   \n",
              "\n",
              "                                              corpus  \n",
              "0  barang bagus, pengiriman juga cepat. cuma minu...  \n",
              "1  lengkap bagus pengiriman cepat dan tepat terpe...  \n",
              "2           bahan tipis, seller ramah, ekspedisi cpt  \n",
              "3  produk asli original. suplemen bagus tanpa efe...  \n",
              "4  model dan warna aku suka tp pemasangan sedikit...  "
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              "      <td>LENGKAP BAGUS PENGIRIMAN CEPAT DAN TEPAT TERPE...</td>\n",
              "      <td>lengkap bagus pengiriman cepat dan tepat terpe...</td>\n",
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              "      <th>2</th>\n",
              "      <td>Positive</td>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 1200,\n  \"fields\": [\n    {\n      \"column\": \"Sentiment\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Negative\",\n          \"Positive\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Customer Review\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1196,\n        \"samples\": [\n          \"saat diterima tutup wajan ad yg bermasalah dan di wajannya ad goresan. bermasalahnya bukan krn proses pengiriman. tapi emang dari sononya cacat. kecewa dengan respon penjual yang bilang goresannya g masalah. Padahal saya kan beli baru, beli wajan anti gores malah terima yang bergores dan kualitas bermasalah. lgs ajukan komplain. sdh terima wajannya lagi yang tidak gores, cuma tetep bbrp yg mengecewakan. kecewa.. jadi lama dan saya harus repot ngurus pengembalian barangnya. kalau mw jual yang diskon jangan kasih yang kualitasnya g bagus. atau sampaikan aja produknya ad bbrp bermasalah makanya dikasih diskon. resiko beli online. semoga awet\",\n          \"mantab, barangnya kokoh kualitas Ok,mau pesen satu lagi\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"corpus\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1192,\n        \"samples\": [\n          \"produk tidak bagus\",\n          \"produk berjalan dengan lancar dna sangat membantu bila bepergian keluar negeri\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Preprocessing"
      ],
      "metadata": {
        "id": "h0_KpRHVS0vk"
      }
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    {
      "cell_type": "code",
      "source": [
        "df.info()"
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        "outputId": "98903e7f-dd2d-494f-cd3a-b34aaf1177db"
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      "execution_count": 49,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1200 entries, 0 to 1199\n",
            "Data columns (total 3 columns):\n",
            " #   Column           Non-Null Count  Dtype \n",
            "---  ------           --------------  ----- \n",
            " 0   Sentiment        1200 non-null   object\n",
            " 1   Customer Review  1200 non-null   object\n",
            " 2   corpus           1200 non-null   object\n",
            "dtypes: object(3)\n",
            "memory usage: 28.2+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cols = ['Sentiment','Customer Review']\n",
        "df = df[cols]\n",
        "df = df.dropna()\n",
        "print(df.shape)\n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
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          "height": 223
        },
        "id": "rPhu6qCtS-Jg",
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      },
      "execution_count": 50,
      "outputs": [
        {
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          "text": [
            "(1200, 2)\n"
          ]
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            "text/plain": [
              "  Sentiment                                    Customer Review\n",
              "0  Positive  Barang bagus, pengiriman juga cepat. Cuma minu...\n",
              "1  Positive  LENGKAP BAGUS PENGIRIMAN CEPAT DAN TEPAT TERPE...\n",
              "2  Positive           Bahan tipis, seller ramah, ekspedisi cpt\n",
              "3  Positive  produk asli original. suplemen bagus tanpa efe...\n",
              "4  Positive  Model dan warna aku suka tp pemasangan sedikit..."
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              "\n",
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              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
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              "  .colab-df-quickchart-complete:disabled,\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
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              "</div>\n",
              "    </div>\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 1200,\n  \"fields\": [\n    {\n      \"column\": \"Sentiment\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Negative\",\n          \"Positive\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Customer Review\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1196,\n        \"samples\": [\n          \"saat diterima tutup wajan ad yg bermasalah dan di wajannya ad goresan. bermasalahnya bukan krn proses pengiriman. tapi emang dari sononya cacat. kecewa dengan respon penjual yang bilang goresannya g masalah. Padahal saya kan beli baru, beli wajan anti gores malah terima yang bergores dan kualitas bermasalah. lgs ajukan komplain. sdh terima wajannya lagi yang tidak gores, cuma tetep bbrp yg mengecewakan. kecewa.. jadi lama dan saya harus repot ngurus pengembalian barangnya. kalau mw jual yang diskon jangan kasih yang kualitasnya g bagus. atau sampaikan aja produknya ad bbrp bermasalah makanya dikasih diskon. resiko beli online. semoga awet\",\n          \"mantab, barangnya kokoh kualitas Ok,mau pesen satu lagi\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.Sentiment.value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "71HzcV46TJrx",
        "outputId": "b0be10f7-b3b5-4476-db31-c8dc20b5657f"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Sentiment\n",
              "Positive    600\n",
              "Negative    600\n",
              "Name: count, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# mencari data dengan review lebih dari 1 kata\n",
        "df = df[(df['Customer Review'].str.split().str.len())>1]\n",
        "print(df.shape)\n",
        "print(df.head())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ybx57Ri_TQ7C",
        "outputId": "713ae251-074f-4d06-c633-045592babbca"
      },
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(1182, 2)\n",
            "  Sentiment                                    Customer Review\n",
            "0  Positive  Barang bagus, pengiriman juga cepat. Cuma minu...\n",
            "1  Positive  LENGKAP BAGUS PENGIRIMAN CEPAT DAN TEPAT TERPE...\n",
            "2  Positive           Bahan tipis, seller ramah, ekspedisi cpt\n",
            "3  Positive  produk asli original. suplemen bagus tanpa efe...\n",
            "4  Positive  Model dan warna aku suka tp pemasangan sedikit...\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['corpus'] = df['Customer Review'].str.lower()\n",
        "print(df.shape)\n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 293
        },
        "id": "VOs-lgbbU7md",
        "outputId": "f282ede0-143d-4375-d4f1-dd6d72025e21"
      },
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(1182, 3)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  Sentiment                                    Customer Review  \\\n",
              "0  Positive  Barang bagus, pengiriman juga cepat. Cuma minu...   \n",
              "1  Positive  LENGKAP BAGUS PENGIRIMAN CEPAT DAN TEPAT TERPE...   \n",
              "2  Positive           Bahan tipis, seller ramah, ekspedisi cpt   \n",
              "3  Positive  produk asli original. suplemen bagus tanpa efe...   \n",
              "4  Positive  Model dan warna aku suka tp pemasangan sedikit...   \n",
              "\n",
              "                                              corpus  \n",
              "0  barang bagus, pengiriman juga cepat. cuma minu...  \n",
              "1  lengkap bagus pengiriman cepat dan tepat terpe...  \n",
              "2           bahan tipis, seller ramah, ekspedisi cpt  \n",
              "3  produk asli original. suplemen bagus tanpa efe...  \n",
              "4  model dan warna aku suka tp pemasangan sedikit...  "
            ],
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              "      <td>bahan tipis, seller ramah, ekspedisi cpt</td>\n",
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              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        const element = document.querySelector('#df-57b36856-62a4-4aca-ab9c-d095f6cb87bc');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-1ae0d832-cf6c-4cbe-970a-0ef57a10d039\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-1ae0d832-cf6c-4cbe-970a-0ef57a10d039')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-1ae0d832-cf6c-4cbe-970a-0ef57a10d039 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 1182,\n  \"fields\": [\n    {\n      \"column\": \"Sentiment\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Negative\",\n          \"Positive\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Customer Review\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1178,\n        \"samples\": [\n          \"pelayanan ramah, gratis design, pokoknya rekomendasi banget bikin cap disini\",\n          \"bagus banget\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"corpus\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1176,\n        \"samples\": [\n          \"pelayanan ramah, gratis design, pokoknya rekomendasi banget bikin cap disini\",\n          \"ga sesuai permintaan...udh jelas2 dikasi keterangan orderannya dan di chat biar inget eeh...malah barang yg datang warna tdk sesuai dengan jumlah warna yg diinginkan. pengen cepet ngirim aja ini lapaknya. klo ga punya stok jgn di approve.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['corpus'] = df.corpus.str.translate(str.maketrans('', '', string.punctuation))\n",
        "print(df.shape)\n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 293
        },
        "id": "DkREXRPpVmS3",
        "outputId": "0f638b61-3371-4884-e2e2-4ec0324bd131"
      },
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(1182, 3)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  Sentiment                                    Customer Review  \\\n",
              "0  Positive  Barang bagus, pengiriman juga cepat. Cuma minu...   \n",
              "1  Positive  LENGKAP BAGUS PENGIRIMAN CEPAT DAN TEPAT TERPE...   \n",
              "2  Positive           Bahan tipis, seller ramah, ekspedisi cpt   \n",
              "3  Positive  produk asli original. suplemen bagus tanpa efe...   \n",
              "4  Positive  Model dan warna aku suka tp pemasangan sedikit...   \n",
              "\n",
              "                                              corpus  \n",
              "0  barang bagus pengiriman juga cepat cuma minus ...  \n",
              "1  lengkap bagus pengiriman cepat dan tepat terpe...  \n",
              "2             bahan tipis seller ramah ekspedisi cpt  \n",
              "3  produk asli original suplemen bagus tanpa efek...  \n",
              "4  model dan warna aku suka tp pemasangan sedikit...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-825bbb91-1e4b-482d-9dc3-bd1692fccb31\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Sentiment</th>\n",
              "      <th>Customer Review</th>\n",
              "      <th>corpus</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Positive</td>\n",
              "      <td>Barang bagus, pengiriman juga cepat. Cuma minu...</td>\n",
              "      <td>barang bagus pengiriman juga cepat cuma minus ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Positive</td>\n",
              "      <td>LENGKAP BAGUS PENGIRIMAN CEPAT DAN TEPAT TERPE...</td>\n",
              "      <td>lengkap bagus pengiriman cepat dan tepat terpe...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Positive</td>\n",
              "      <td>Bahan tipis, seller ramah, ekspedisi cpt</td>\n",
              "      <td>bahan tipis seller ramah ekspedisi cpt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Positive</td>\n",
              "      <td>produk asli original. suplemen bagus tanpa efe...</td>\n",
              "      <td>produk asli original suplemen bagus tanpa efek...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Positive</td>\n",
              "      <td>Model dan warna aku suka tp pemasangan sedikit...</td>\n",
              "      <td>model dan warna aku suka tp pemasangan sedikit...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-825bbb91-1e4b-482d-9dc3-bd1692fccb31')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-825bbb91-1e4b-482d-9dc3-bd1692fccb31 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-825bbb91-1e4b-482d-9dc3-bd1692fccb31');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-30c61c7e-8fc0-4906-bdbe-5ded4631784b\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-30c61c7e-8fc0-4906-bdbe-5ded4631784b')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-30c61c7e-8fc0-4906-bdbe-5ded4631784b button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 1182,\n  \"fields\": [\n    {\n      \"column\": \"Sentiment\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Negative\",\n          \"Positive\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Customer Review\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1178,\n        \"samples\": [\n          \"pelayanan ramah, gratis design, pokoknya rekomendasi banget bikin cap disini\",\n          \"bagus banget\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"corpus\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1176,\n        \"samples\": [\n          \"pelayanan ramah gratis design pokoknya rekomendasi banget bikin cap disini\",\n          \"ga sesuai permintaanudh jelas2 dikasi keterangan orderannya dan di chat biar inget eehmalah barang yg datang warna tdk sesuai dengan jumlah warna yg diinginkan pengen cepet ngirim aja ini lapaknya klo ga punya stok jgn di approve\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def repetition_char(txt):\n",
        "  sub_str = re.findall(r\"((\\w)\\2{2,})\",txt)\n",
        "  for x in sub_str:\n",
        "    txt = txt.replace(x[0],x[1])\n",
        "  return txt"
      ],
      "metadata": {
        "id": "RqKFK1RSWYF3"
      },
      "execution_count": 54,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df['corpus'] = df.corpus.apply(repetition_char)\n",
        "df = df.reset_index(drop=True)\n",
        "print(df.shape)\n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 293
        },
        "id": "0JV4vYo6WaWI",
        "outputId": "576dc9dd-3bf5-42cd-98fb-3e83c7cc4057"
      },
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(1182, 3)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  Sentiment                                    Customer Review  \\\n",
              "0  Positive  Barang bagus, pengiriman juga cepat. Cuma minu...   \n",
              "1  Positive  LENGKAP BAGUS PENGIRIMAN CEPAT DAN TEPAT TERPE...   \n",
              "2  Positive           Bahan tipis, seller ramah, ekspedisi cpt   \n",
              "3  Positive  produk asli original. suplemen bagus tanpa efe...   \n",
              "4  Positive  Model dan warna aku suka tp pemasangan sedikit...   \n",
              "\n",
              "                                              corpus  \n",
              "0  barang bagus pengiriman juga cepat cuma minus ...  \n",
              "1  lengkap bagus pengiriman cepat dan tepat terpe...  \n",
              "2             bahan tipis seller ramah ekspedisi cpt  \n",
              "3  produk asli original suplemen bagus tanpa efek...  \n",
              "4  model dan warna aku suka tp pemasangan sedikit...  "
            ],
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              "  <div id=\"df-50ebe238-c997-453c-a2f4-9e5d162cd801\" class=\"colab-df-container\">\n",
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Sentiment</th>\n",
              "      <th>Customer Review</th>\n",
              "      <th>corpus</th>\n",
              "    </tr>\n",
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              "      <th>0</th>\n",
              "      <td>Positive</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Positive</td>\n",
              "      <td>LENGKAP BAGUS PENGIRIMAN CEPAT DAN TEPAT TERPE...</td>\n",
              "      <td>lengkap bagus pengiriman cepat dan tepat terpe...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Positive</td>\n",
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              "      <td>bahan tipis seller ramah ekspedisi cpt</td>\n",
              "    </tr>\n",
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              "      <th>3</th>\n",
              "      <td>Positive</td>\n",
              "      <td>produk asli original. suplemen bagus tanpa efe...</td>\n",
              "      <td>produk asli original suplemen bagus tanpa efek...</td>\n",
              "    </tr>\n",
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              "      <td>Model dan warna aku suka tp pemasangan sedikit...</td>\n",
              "      <td>model dan warna aku suka tp pemasangan sedikit...</td>\n",
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              "    <div class=\"colab-df-buttons\">\n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-50ebe238-c997-453c-a2f4-9e5d162cd801')\"\n",
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              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-50ebe238-c997-453c-a2f4-9e5d162cd801 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-50ebe238-c997-453c-a2f4-9e5d162cd801');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
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              "\n",
              "\n",
              "<div id=\"df-d3d39248-fb4c-47e9-9a8a-5fa12807d3d9\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-d3d39248-fb4c-47e9-9a8a-5fa12807d3d9')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-d3d39248-fb4c-47e9-9a8a-5fa12807d3d9 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 1182,\n  \"fields\": [\n    {\n      \"column\": \"Sentiment\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Negative\",\n          \"Positive\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Customer Review\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1178,\n        \"samples\": [\n          \"pelayanan ramah, gratis design, pokoknya rekomendasi banget bikin cap disini\",\n          \"bagus banget\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"corpus\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1176,\n        \"samples\": [\n          \"pelayanan ramah gratis design pokoknya rekomendasi banget bikin cap disini\",\n          \"ga sesuai permintaanudh jelas2 dikasi keterangan orderannya dan di chat biar inget eehmalah barang yg datang warna tdk sesuai dengan jumlah warna yg diinginkan pengen cepet ngirim aja ini lapaknya klo ga punya stok jgn di approve\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import tqdm\n",
        "\n",
        "factory = StemmerFactory()\n",
        "stemmer = factory.create_stemmer()\n",
        "\n",
        "df['corpus'] = df.corpus.apply(lambda x: stemmer.stem(str(x)))\n",
        "print(df.shape)\n",
        "print(df.head())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mMCgkrBcXc2E",
        "outputId": "9cf38231-7215-4b88-8d29-6e77092951a1"
      },
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(1182, 3)\n",
            "  Sentiment                                    Customer Review  \\\n",
            "0  Positive  Barang bagus, pengiriman juga cepat. Cuma minu...   \n",
            "1  Positive  LENGKAP BAGUS PENGIRIMAN CEPAT DAN TEPAT TERPE...   \n",
            "2  Positive           Bahan tipis, seller ramah, ekspedisi cpt   \n",
            "3  Positive  produk asli original. suplemen bagus tanpa efe...   \n",
            "4  Positive  Model dan warna aku suka tp pemasangan sedikit...   \n",
            "\n",
            "                                              corpus  \n",
            "0  barang bagus kirim juga cepat cuma minus di pa...  \n",
            "1  lengkap bagus kirim cepat dan tepat terpercaya...  \n",
            "2             bahan tipis seller ramah ekspedisi cpt  \n",
            "3  produk asli original suplemen bagus tanpa efek...  \n",
            "4  model dan warna aku suka tp pasang sedikit rib...  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Generate Sentiment Label"
      ],
      "metadata": {
        "id": "IqS-94jbswzI"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Sentiment Of Customer Review\n",
        "\n",
        "df.groupby('Sentiment').size().plot(kind='barh', color=sns.palettes.mpl_palette('Dark2'))\n",
        "plt.gca().spines[['top', 'right',]].set_visible(False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        },
        "id": "2y2cTFLszsoK",
        "outputId": "1326ad5c-a5ca-4b23-f76d-8d12ae07f958"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.columns.values"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aCcUrg0psheW",
        "outputId": "0f69cb49-8b12-4b1c-b966-17888ad7f382"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Sentiment', 'Customer Review', 'corpus'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RidXhooDtbif",
        "outputId": "b0cd6f54-1947-4835-bae4-e5d70dc3034f"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Sentiment          0\n",
              "Customer Review    0\n",
              "corpus             0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = df.dropna()\n",
        "print(df.shape)\n",
        "print(df.Sentiment.value_counts())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SqS-6BbEtdZe",
        "outputId": "de9449b7-28ba-4892-8423-931995a87e7c"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(1200, 3)\n",
            "Sentiment\n",
            "Positive    600\n",
            "Negative    600\n",
            "Name: count, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x, y =df.corpus, df.Sentiment"
      ],
      "metadata": {
        "id": "fiHYuqfStqfH"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Creating Model"
      ],
      "metadata": {
        "id": "HRqqxRZWvVSy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "vectorizer = TfidfVectorizer()\n",
        "X = vectorizer.fit_transform(x)"
      ],
      "metadata": {
        "id": "D2oKviFAttlv"
      },
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x_train, x_test, y_train, y_test = train_test_split(X,y, test_size=0.3)\n",
        "print(\"train size:\",x_train.shape)\n",
        "print(\"test size:\",x_test.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JZjCJcHwtvQb",
        "outputId": "fc2e1a82-62c6-4baf-83a2-44ed02140f67"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "train size: (840, 3680)\n",
            "test size: (360, 3680)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Assume x_train, y_train, x_test, and y_test are defined here\n",
        "\n",
        "st = time.time()  # use time.time() to get the current time in seconds since the epoch\n",
        "\n",
        "model = svm.SVC()  # use svm.SVC() to create an instance of the SVC class\n",
        "model.fit(x_train, y_train)\n",
        "\n",
        "print(\"[DONE] training process finished:\", time.time() - st, \"second(s)\\n\")\n",
        "\n",
        "y_pred = model.predict(x_test)\n",
        "\n",
        "print(classification_report(y_test, y_pred))\n",
        "print(confusion_matrix(y_test, y_pred))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rK_yhajct6Ek",
        "outputId": "0fddb8fb-f5eb-444a-8753-d3102a4d9d86"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[DONE] training process finished: 0.12213444709777832 second(s)\n",
            "\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "    Negative       0.88      0.98      0.93       183\n",
            "    Positive       0.97      0.86      0.92       177\n",
            "\n",
            "    accuracy                           0.92       360\n",
            "   macro avg       0.93      0.92      0.92       360\n",
            "weighted avg       0.93      0.92      0.92       360\n",
            "\n",
            "[[179   4]\n",
            " [ 24 153]]\n"
          ]
        }
      ]
    }
  ]
}