Whatsapp Chat Analyzer Using Stremlit

Abstract

Communication patterns have evolved significantly with the emergence of messaging applications, with WhatsApp standing as one of the most prevalent platforms in recent years. This research introduces a specialized tool designed to extract meaningful insights from WhatsApp conversation data. The developed application performs in-depth analysis of chat exchanges regardless of subject matter or conversation context. By leveraging fundamental Python libraries that include pandas for the data manipulation, the matplotlib as well as seaborn for the visualization, sentiment analysis techniques, our tool processes conversational datasets effectively. The implementation via Flutter application ensures optimal resource utilization while maintaining performance efficiency, allowing seamless handling of substantial data volumes. This approach creates new opportunities for understanding communication patterns in digital exchanges.