Project Abstract

This project aims to develop a tool that allows users to extract their chat data from WhatsApp Web. While there are other methods to extract chat data from WhatsApp, this tool can simplify the process of the extraction, making it easier for users to scrape their chat data for an array of purposes. There are studies and research that require a large amount of linguistic data in casual languages, and the best way to gather this kind of data is to scrape the recorded conversations of real people in online messengers.The tool allows anyone who has a phone and a WhatsApp account to scrape their chat data with ease so that these conversational data can become exponentially more accessible for individuals, researchers, and companies. This tool was developed using Agile methodology, and after finishing the project, a set of Python programs utilising a wide range of libraries was created, and it accomplished the purpose of making chat data extraction easier so that more data would be available for projects aiming to enhance technologies that involve languages.

Keywords: Software Engineering, Data extraction, Named Entity Recognition

 Conference Details

Session: Poster Session B at Poster Stand 103

Location: Sir Stanley Clarke Auditorium at Wednesday 8th 09:00 – 12:30

Markers: Nicholas Micallef, Ulrich Berger

Course: BSc Computer Science, 3rd Year

Future Plans: I’m looking for work