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This project is based on analysis and classification of news using an LSTM (Long Short Term Memory) - Recurrent Neural Network to Identify fake news over a text-based news stream.Developed using Python, Tensorflow, pandas with spacy, Wordcloud, and gensim for Natural Language Processing and seaborn, plotly for visualizations.

cmadusankahw/fake-news-detection-with-LSTM

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fake-news-detection-with-LSTM

This project is based on analysis and classification of news using an LSTM (Long Short Term Memory) - Recurrent Neural Network to Identify fake news over a text-based news stream.

Developed using python, with spacy, and NLTK for Natural Language Processing and Tensorflow, pandas with WordCloud, Seaborn,and Plotty for visualizations.

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This project is based on analysis and classification of news using an LSTM (Long Short Term Memory) - Recurrent Neural Network to Identify fake news over a text-based news stream.Developed using Python, Tensorflow, pandas with spacy, Wordcloud, and gensim for Natural Language Processing and seaborn, plotly for visualizations.

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