Sentiment Analysis of Multichannel Chat Data: Enhancing Customer

Sentiment Analysis of Multichannel Chat Data

The Sentiment Analysis of Multichannel Chat Data project aims to develop a machine learning-based approach to analyze chat data from multiple platforms, including Instagram, Slack, and Viber, to identify user sentiments and improve customer insights. The project involves collecting and preprocessing chat data, developing a sentiment analysis model, and evaluating its performance on a test dataset.