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In this project, I have detected sarcasm in news headlines using natural language processing in tensorflow. I have compared all machine learning models with simple RNN (Recurrent neural network), Bidirectional LSTM (Long short-term memory), and BERT for detecting sarcasm in news headlines.

share.streamlit.io/ritwiksharma107/news-headlines-sarcasm-detection/app.py

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Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
News_Headlines_Sarcasm_Detection.ipynb		News_Headlines_Sarcasm_Detection.ipynb
Procfile		Procfile
README.md		README.md
app.py		app.py
file.txt		file.txt
model.h5		model.h5
requirements.txt		requirements.txt
setup.sh		setup.sh

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news-headlines-sarcasm-detection

The data is downloaded from kaggle

https://www.kaggle.com/rmisra/news-headlines-dataset-for-sarcasm-detection

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In this project, I have detected sarcasm in news headlines using natural language processing in tensorflow. I have compared all machine learning models with simple RNN (Recurrent neural network), Bidirectional LSTM (Long short-term memory), and BERT for detecting sarcasm in news headlines.

share.streamlit.io/ritwiksharma107/news-headlines-sarcasm-detection/app.py

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