Sentiment Analysis Tool

Overview

The application is intended to bring forth the sentiment carried by the user's words. The words are preprocessed, fed into a machine learning model which categorizes it into one of three categories: negative, neutral or positive. The analysis also provides the percentage confidence of the model regarding the classification in each of the three categories.

Technologies Used

Key Learnings

• Natural language processing using machine learning
• Vectorization and its relevance
• In-depth data processing
• Exhaustive ML experimentations along with hyperparameter tuning