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https://github.com/rid17pawar/sentiment-analysis-model-experiments
Experiments in the field of Sentiment Analysis using ML Algorithms namely Logistic Regression, Naive Bayes along with tfidf, one hot encoding, bag of words vectorization. Different MLP and RNN models viz. LSTM, GRU, Bidirectional LSTM. Lastly, state of the art BERT model
https://github.com/rid17pawar/sentiment-analysis-model-experiments
bag-of-words bert bidirectional-lstm gru logistic-regression lstm ml-algorithms naive-bayes neural-networks one-hot-encoding rnn sentiment-analysis sentiment-classification text-vectorization tfidf tfidf-vectorizer transformer-architecture twitter-sentiment-analysis
Last synced: about 2 months ago
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Experiments in the field of Sentiment Analysis using ML Algorithms namely Logistic Regression, Naive Bayes along with tfidf, one hot encoding, bag of words vectorization. Different MLP and RNN models viz. LSTM, GRU, Bidirectional LSTM. Lastly, state of the art BERT model
- Host: GitHub
- URL: https://github.com/rid17pawar/sentiment-analysis-model-experiments
- Owner: rid17pawar
- Created: 2023-07-02T06:09:37.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-07-02T11:44:46.000Z (over 1 year ago)
- Last Synced: 2024-10-13T02:42:45.926Z (3 months ago)
- Topics: bag-of-words, bert, bidirectional-lstm, gru, logistic-regression, lstm, ml-algorithms, naive-bayes, neural-networks, one-hot-encoding, rnn, sentiment-analysis, sentiment-classification, text-vectorization, tfidf, tfidf-vectorizer, transformer-architecture, twitter-sentiment-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 1.8 MB
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0