ribsthakkar / SensationalDetector

Semester Project for Computational Semantics class.

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SensationalDetector

This is a basic neural network implemented using Tensorflow and NLTK to determine whether a news article is sensationalized or not.

It uses features such as the the sentence syntax, common parts of speech, use of profanity, and many other features to determine whether an article is sensationalist.

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Semester Project for Computational Semantics class.


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Language:Python 100.0%