https://github.com/annettaqi/fake-news-classification

Using LSTM model to classify text into fake or real
https://github.com/annettaqi/fake-news-classification

bidirectional-lstm word2vec-embeddinngs

Last synced: about 1 month ago
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Using LSTM model to classify text into fake or real

• Host: GitHub
• URL: https://github.com/annettaqi/fake-news-classification
• Owner: AnnettaQi
• Created: 2024-10-17T05:33:24.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-10-17T16:07:10.000Z (3 months ago)
• Last Synced: 2024-10-19T22:00:28.356Z (3 months ago)
• Topics: bidirectional-lstm, word2vec-embeddinngs
• Language: Jupyter Notebook
• Homepage:
• Size: 12.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Project is about:

Using word2vec to encode sentences into index which refers to the nth frequency in corpus. 

Ths corpus is constructed based on training and test data. 

Then apply bidirectional LSTM to train on training data. 

The best model is saved with the highest validaiton accuracy. 

Make prediction on test data based on this model.