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@article{170740,
        author = {Vishal Bilwal and Sourav Manral and Satyam Gaur and Akanksha Jain},
        title = {WhatsApp Chat Analyzer},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {7},
        pages = {4234-4237},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170740},
        abstract = {The usage of WhatsApp has gone one of the most liked and effective styles of communication in recent times. This platform facilitates multiple conversations, both in group settings and individual dialogues. The chat sentimental analysis is a tool stationed on Heroku web platform, designed to anatomize WhatsApp chat exchanges exhaustively. This design aims to uncover retired patterns and perceptivity within converse data by performing a detailed analysis. Anyhow of the discussion content, the developed law can be employed to deeply understand the data [4]. The system provides druggies with a clear and perceptive overview of their messaging actions, supporting exploration, studies on social dynamics, and particular productivity enhancement. The tool leverages simple yet important Python libraries, including pandas, matplotlib, seaborn, and sentiment analysis, to produce data frames and induce colorful graphical visualizations. These perceptivities are also displayed through a Flutter- grounded operation for ease of use. They are used to create data frames and plot graphs in an efficient way [1].},
        keywords = {},
        month = {March},
        }