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NLP text classification using LSTM and Conv1D-BiLSTM models with word embeddings, and traditional ML models with TF-IDF and Count Vectorizers. Achieved up to 93.18% accuracy.

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.ipynb_checkpoints		.ipynb_checkpoints
data		data
Fake News Classifier Using Conv1D and Bidirectional LSTM.ipynb		Fake News Classifier Using Conv1D and Bidirectional LSTM.ipynb
Fake News Classifier Using LSTM.ipynb		Fake News Classifier Using LSTM.ipynb
Fake News Classifier using Count Vectorizer.ipynb		Fake News Classifier using Count Vectorizer.ipynb
Fake News Classifier using TFIDF.ipynb		Fake News Classifier using TFIDF.ipynb
README.md		README.md

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Fake-News-Classification

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NLP text classification using LSTM and Conv1D-BiLSTM models with word embeddings, and traditional ML models with TF-IDF and Count Vectorizers. Achieved up to 93.18% accuracy.

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