Analyzes emotions in text chunks per chapter using a sentiment analysis model, visualizing scores across chunks as line graphs. Includes pie charts showing dominant emotions per chapter, enhancing understanding of emotional variations in text chunks. Developed using Transformers library.

High-accuracy Core ML model for sentiment analysis trained on a large-scale dataset. Built with Create ML to classify sentiment for tweets and general text inputs, bypassing Twitter API dependencies.