Tweets & Text Classification using machine learning

A Text Classifiaction using different machine learning models that classifies the text into

• positive or negative
• business or entertainment or health or politics or sports or technology for tweets

The models was trained using 350,000 news Headlines & short Articles The following models was trained , they gave different acccuracies

The highest accuracy was 94.5% for MLP model.

The Models:

• logistic regression
• Extra trees
• Decision Tree
• knn
• MLP(Multilayer perceptron)

For The full final report see "Final Presintation.pptx"