The Aim of the project:

A website made using Django that can be later used to show the popular news on a single site only by collecting Information from various news Sites like Times of india, Hindustan Times etc. Here using Regression model that uses a dataset OnlineNewsPopularityClassification.csv to train itself and then check the virality of the scraped data.The virality is checked on the basis of various information that has been scraped from Times of India website. Later on after using sentiment analysis and weighing the relevant words with the ones in popular news a model is created. This model has various algos like Logistics Regression,Random Forest Classifier,SVM but the one actively used is RandomForestClassifier due to its best results. The Output shows Essentials of the model using RandomForestClassifier after being trained and tested.