Statistical Exploration and Sentiment Analysis of WhatsApp Chats using Supervised Learning
Aakarsh Sharma, Shweta Sinha · 2023
This paper presents the sentiment analysis of WhatsApp chat data while also evaluating user activity, employing VADER and supervised learning. The study encompasses both sentiment classification utilizing VADER's lexicon-based approach and supervised sentiment analysis using the Naive Bayes and SVM model. The research extends to statistical exploration like identifying the most active user within the group chat dataset and other statistical information. By contrasting the efficiency and accuracy of these techniques, the paper aids in method selection based on specific analysis goals. Results offer insights into sentiment trends and user engagement for informed decision-making.