WhatsApp Chat Analysis: Unveiling Insights through Data Processing and Visualization Techniques

Saira Yaqub, Saikat Gochhait, Hafiz Abdul Haseeb Khalid, Syeda Noreen Bukhari, Ayesha Yaqub, Muhammad Abubakr
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Abstract

WhatsApp has become a widely used medium to communicate in the modern era of technology, fostering diverse conversations and expressions among millions of users worldwide. This research introduces a robust analytical tool, the “WhatsApp Chat Ana-lyzer,” crafted to dissect and visualize the multifaceted landscape of group chats on WhatsApp. Imbued with Python's prowess and fortified by Streamlit, matplotlib, and Seaborn, the tool transcends conventional analyses by providing nuanced insights into user behavior, message statistics, and emerging content trends. In this research, we embark on an exploratory journey to decipher the complex dynamics embedded within WhatsApp group chats. By amalgamating sophisticated data preprocessing techniques, advanced statistical analyses, and captivating visualizations, the “WhatsApp Chat Analyzer” stands as a testament to our commitment to unraveling the facts of modern digital communication.
WhatsApp 聊天分析:通过数据处理和可视化技术揭示洞察力
WhatsApp 已成为现代科技时代广泛使用的交流媒介,在全球数百万用户中促进了多样化的对话和表达。本研究介绍了一种强大的分析工具--"WhatsApp Chat Ana-lyzer",用于剖析和可视化 WhatsApp 上群组聊天的多面性。该工具融入了 Python 的精髓,并得到了 Streamlit、matplotlib 和 Seaborn 的强化,通过对用户行为、信息统计和新兴内容趋势提供细致入微的洞察,从而超越了传统的分析方法。在这项研究中,我们开始了探索之旅,以解读 WhatsApp 群组聊天中蕴含的复杂动态。WhatsApp 聊天分析器 "融合了复杂的数据预处理技术、先进的统计分析和引人入胜的可视化效果,是我们致力于揭开现代数字通信真相的有力证明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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