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Whatsapp Chat Analyzer

  • Unique Paper ID: 174217
  • Volume: 11
  • Issue: 10
  • PageNo: 3117-3127
  • Abstract:
  • This research paper presents a comprehensive analysis of WhatsApp chat data utilizing machine learning techniques. The study focuses on extracting valuable insights such as total message count, media distribution, link sharing frequency, and emoji usage within the context of group conversations. Additionally, it investigates temporal trends through a monthly timeline visualization and identifies the most active participants using a bar graph representation. By employing natural language processing and data visualization methodologies, the study aims to provide a deeper understanding of communication patterns and dynamics within WhatsApp groups, contributing to the field of chat analytics and social network analysis.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 10
  • PageNo: 3117-3127

Whatsapp Chat Analyzer

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8.01 (Year 2024)
UGC Approved
Journal no 47859

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