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A Develop a multi-class classification model to classify news content according to their specific categories.

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News-Category-Classification WebApp

Background:

From the beginning, since the first printed newspaper, every news that makes into a page has had a specific section allotted to it. Although pretty much everything changed in newspapers from the ink to the type of paper used, this proper categorization of news was carried over by generations and even to the digital versions of the newspaper. Newspaper articles are not limited to a few topics or subjects, it covers a wide range of interests from politics to sports to movies and so on. For long, this process of sectioning was done manually by people but now technology can do it without much effort.

Task:

Classify news into categories based on their headline and short description and deploying using Flask.

Demo:

![Demmo1](readme_demos/News Category Predictor - Google Chrome 2021-07-19 17-13-21.mp4)

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A Develop a multi-class classification model to classify news content according to their specific categories.

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