News_Classifier

An NLP web app (micro service) built using Python Flask library and NLTK to classify news article into a set of predefined categories. The web app was deployed on Heroku cloud.

Performed standard text preprocessing using NLTK library and removed short hand notations.

Used TF-IDF Vectorizer to convert text to features.

Used one Vs rest classifier on Linear SVC to create a multi-classification model.

Created and deployed a web app (micro service) using Python’s Flask library on Heroku cloud which would take news articles as input and predict its category.