What is this Project about?

This Project was from Bangkit Capstone Project, the goal from this repository, is to built the sentiment analysis to classified the sentence is it the positive or the negative sentiment about the specific event organizer review.

Data Used by this Model

In this project, we have 7049 data including the label positive and label negative. The data has been splited by two category: Training data and Validation Data. Training have 5639 Data and the Validation data have 1410 Data.

Preprocessing

in the Processing phase, we using two methods: Stopwords and Lowercasing

def remove_stopwords(sentence):

    stopwords = ['a', 'the', ...]

    sentence = sentence.lower()

    list_sentence, sentence = sentence.split(" "), ""
    set_sentence = set(list_sentence)

    for word in set_sentence:
        if word in stopwords:
            count_word = list_sentence.count(word)
            for count in range(0, count_word):
                list_sentence.remove(word)

    for word in list_sentence:
        sentence += word + " "

    sentence = sentence.rstrip()
    return sentence

Accuracy

Loss