Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{191142,
        author = {K. Ramachandran and C. Senthil Kumaran},
        title = {A WEB-BASED WHATSAPP CHAT ANALYZER USING PYTHON AND DATA VISUALIZATION TECHNIQUES},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {5637-5640},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191142},
        abstract = {The WhatsApp Chat Analyzer project is made to get useful information from WhatsApp chat files that people export [11]. These days people use apps like WhatsApp a lot to talk to each other for work stuff. The thing is, the information in these chats is not organized and it is hard to look at it. The WhatsApp Chat Analyzer project solves this problem by taking the text from WhatsApp chat files and turning it into information using Python-based data processing techniques [1][2]. Then it shows the results with numbers and pictures, on a website using data visualization tools [4][14].The system lets people put their chat files into it look at the messages and make some charts to understand things like when people talk, what they like to talk about and who says what. This project uses Python, Flask, SQLite and some other tools to make pictures with the data [1][6][18]. It is really easy to use. It helps you understand what is going on in your chats. The system shows you things like timelines what people are doing, which emojis are popular which words people use a lot and who is talking the most, in the chat [7][8].
We live in a time where we do a lot of things online. Messaging platforms like WhatsApp are really important for talking to people [11]. Every day we send a lot of messages on WhatsApp. These messages say a lot, about how we behave how often we talk to each other how we feel and how we interact with each other [12]. Most of us do not have a way to really understand what we are talking about on WhatsApp beyond just scrolling through our chats. The WhatsApp Chat Analyzer project wants to change this. It wants to give us a tool that can look at our chat history and show us what it means in a way that's easy to understand using data science principles [12][13].
This system helps people see how conversations change over time. It shows you who is talking a lot and what people are talking about. The project is simple and easy to use so anyone can use it even if they do not know a lot, about technology. The system is also very accurate which makes it good for everyone to use whether they know about technology or not.},
        keywords = {WhatsApp Analyzer, Chat Analysis, Data Preprocessing, Text Mining, Python, Flask, Data Visualization, Timeline Analysis, Emoji Analysis},
        month = {January},
        }