https://github.com/krisharul26/fake-news-classification-using-bidirectional-lstm-and-rnn

Apply the deep learning algorithm like LSTM & RNN for fake news classification.
https://github.com/krisharul26/fake-news-classification-using-bidirectional-lstm-and-rnn

lstm rnn sentiment-analysis text-classification textblob

Last synced: 7 months ago
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Apply the deep learning algorithm like LSTM & RNN for fake news classification.

• Host: GitHub
• URL: https://github.com/krisharul26/fake-news-classification-using-bidirectional-lstm-and-rnn
• Owner: KrishArul26
• Created: 2021-04-12T20:19:13.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2021-04-12T20:20:33.000Z (over 4 years ago)
• Last Synced: 2025-01-04T18:25:44.838Z (9 months ago)
• Topics: lstm, rnn, sentiment-analysis, text-classification, textblob
• Language: Jupyter Notebook
• Homepage:
• Size: 1.1 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# KrishArul26-Fake-News-Classification-using-Bidirectional-LSTM-and-RNN

Apply the deep learning algorithm like LSTM & RNN for fake news classification.