https://github.com/vishnun0027/sentiment-analysis
Here the several ways to perform sentiment analysis on text data, with varying degrees of complexity and accuracy
https://github.com/vishnun0027/sentiment-analysis
bag-of-words deep-learning deep-neural-networks deeplearning gru logistic-regression lstm machine-learning nltk-python rnn rnn-model sentiment-analysis svm-model tensorflow tensorflow2 text-classification text-preprocessing tf-idf tokenizer
Last synced: about 1 month ago
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Here the several ways to perform sentiment analysis on text data, with varying degrees of complexity and accuracy
- Host: GitHub
- URL: https://github.com/vishnun0027/sentiment-analysis
- Owner: vishnun0027
- Created: 2024-07-12T07:49:10.000Z (almost 2 years ago)
- Default Branch: master
- Last Pushed: 2024-07-14T05:03:19.000Z (almost 2 years ago)
- Last Synced: 2025-01-25T10:11:40.278Z (over 1 year ago)
- Topics: bag-of-words, deep-learning, deep-neural-networks, deeplearning, gru, logistic-regression, lstm, machine-learning, nltk-python, rnn, rnn-model, sentiment-analysis, svm-model, tensorflow, tensorflow2, text-classification, text-preprocessing, tf-idf, tokenizer
- Language: Jupyter Notebook
- Homepage:
- Size: 40 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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