https://github.com/blurred-machine/fake-news-classification-using-lstm

This repository is a submission of Kaggle competition for fake news detection.
https://github.com/blurred-machine/fake-news-classification-using-lstm

classification deep-learning jupyter-notebook lstm lstm-neural-networks machine-learning python recurrent-neural-networks

Last synced: 2 months ago
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This repository is a submission of Kaggle competition for fake news detection.

• Host: GitHub
• URL: https://github.com/blurred-machine/fake-news-classification-using-lstm
• Owner: blurred-machine
• Created: 2020-05-20T16:57:51.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2020-06-02T17:57:56.000Z (about 6 years ago)
• Last Synced: 2025-02-26T12:15:24.487Z (over 1 year ago)
• Topics: classification, deep-learning, jupyter-notebook, lstm, lstm-neural-networks, machine-learning, python, recurrent-neural-networks
• Language: Jupyter Notebook
• Homepage: https://www.kaggle.com/c/fake-news
• Size: 90.8 KB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Fake News Classification using LSTM

This repository is a submission of Kaggle competition for fake news detection. 

- Competition Link: https://www.kaggle.com/c/fake-news

- Achieved an accuracy of **90.77%** which can be imporved by tuning the RNN.