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one-hot-encoded-vectors

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razamehar / Sentiment-Analysis-using-Deep-Learning---Machine-Learning

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Sentiment analysis on the IMDB dataset using Bag of Words models (Unigram, Bigram, Trigram, Bigram with TF-IDF) and Sequence to Sequence models (one-hot vectors, word embeddings, pretrained embeddings like GloVe, and transformers with positional embeddings).

python sentiment-analysis tensorflow word-embeddings bag-of-words multinomial-naive-bayes glove-embeddings sequence-to-sequence-models imdb-dataset tf-idf-vectorizer transformer-architecture term-frequency-inverse-document-frequency one-hot-encoded-vectors
  • Updated Sep 1, 2024
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