The proliferation of instant messaging applications like WhatsApp has revolutionized personal and professional communication. This research paper presents a detailed methodology for analyzing WhatsApp chat data to gain insights into user interaction patterns, message content, and sentiment. By employing various data preprocessing techniques and analytical methods, the project extracts meaningful statistics, generates word clouds, identifies frequently used words and emojis, analyzes user activity over time, and calculates response times. Additionally, sentiment analysis is performed to understand the emotional tone of conversations. This study provides a framework for leveraging chat data to inform social behavior analysis, digital communication studies, and personalized user experiences.
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- et al. (2024) studied this question.
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