A Python-based sentiment analysis tool that classifies text as positive, negative, or neutral. Using NLP techniques and machine learning, it processes data, extracts features, trains models, and evaluates performance. Ideal for analyzing feedback and social media sentiment.

This project crawls Amazon reviews and extracts features and opinions to calculate a feature based rating of every product (mainly smartphones) Done with python, pyqt5

Generate rating using sentimental analysis

US 16 Elections, text and sentiment analysis from tweets on May 25th until May 27th 2016.