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Note : This Repository consists files of the NLP Project - Fake News Detection Classifier which was held as a Data Science assessment by Techigai ,Hyd.

Jupyter Notebook 96.37% Python 3.63%
natural-language-processing text-classification text-classification-python python jupyter-notebooks machine-learning deep-learning regex nltk countvectorizer

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NLP_Fake-News-Detection-Classifier

This Repository consists files of the NLP Project - Fake News Detection Classifier which was held as a Data Science assessment by Techigai ,Hyd.

Fake News Detection

Problem Statement : It has become extremely easy to propagate any information to the masses, thus making Fake News a potential threat to public discourse. We would like you to build a model that when given a news article should determine the relevance of the body and the claim and classify the article accordingly into four categories: ‘agree’, ‘disagree’, ‘discuss’ and ‘unrelated’. Classes ‘disagree’ and ‘unrelated’ provide strong evidence that the news is fake, ‘agree’ indicates that the news is genuine.

Validation Metric  F1-Score

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