trellixvulnteam/news_classification_goz8

Helps you to classify the news of your choice into the category like sports, health, and so on. Used SVM Model to classify the news

News Classification

This is model classify the article into classes and for this we have used Support vector Machine (SVM) which is a new technique suitable for binary classification tasks

Model is trained under the data set and acuuracy calculated is 87%.SVM is strong because of its simple structure and it requires less number of features. We have classifier_notebook.ipynb as notebook which can be opened in jupyter notebook and after installing modules.It is easy to train the model and svm_new.pkl file is created which is our model and thus it can be used for further predicting the classes.

For model training you can see and run individually code in jupyter notebook

Steps for running website:

Step 1: To run website you need to install all the python modules as flask, pickle, sklearn too.
Step 2: open cmd and locate app folder to your directory and run python app.py
Step 3: open browser and type obtained address from the cmd

Flow Diagram:

Website View