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.
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Updated
Apr 27, 2025
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.
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.
A unique sentiment analysis model on IMDB reviews with custom negation handling. Instead of generic preprocessing, it smartly tags words after negators like "not" (e.g., "not good" → "not_good"), preserving sentiment context. Comparison of models with and without this logic shows improved accuracy and real-world reliability.
An NLP Sentiment Analysis python code that analyses sentiment through text and represent it on a graph without using NLTK.
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