Social media chat data visualization

• Main Author: Tan, Royce Chun Wei
• Other Authors: Cham Tat Jen
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2023
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Document and text processing
• Online Access: https://hdl.handle.net/10356/166155
• Institution: Nanyang Technological University

There are various existing applications that analyzes the chat log for instant messaging applications such as WhatsApp and Telegram. The primary goal of this project is to aid in a quick understanding of a long chat history. This project makes use of Term Frequency-Inverse Document Frequency (TF-IDF), an algorithm for Natural Language Processing, to identify important words or possibly topics being discussed every week throughout the chat history. This project also features other functions to display who sent the longest messages, generate a word cloud, frequency of words, and the most popular emoji within the group or a one-to-one chat log. The author also explored using various parameters to create a sensible output.