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word-level-language-model

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MUHAMMADAKMAL137 / IMDB-Dataset-Classification-using-Pre-trained-Word-Embedding-with-GloVec-6B

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In this project, I worked with a small corpus consisting of simple sentences. I tokenized the words using n-grams from the NLTK library and performed word-level and character-level one-hot encoding. Additionally, I utilized the Keras Tokenizer to tokenize the sentences and implemented word embedding using the Embedding layer. For sentiment analysis

word-embeddings corpus seq2seq ngrams character-level character-level-language-model word-level-language-model one-hot-encoding pre-trained-word-embedding pre-trained-glove-6b word-level
  • Updated Aug 1, 2023
  • Jupyter Notebook

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