Mining social media data

• Main Author: Yak, Kenneth Yong Seng
• Other Authors: Ke Yiping, Kelly
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Document and text processing
• Online Access: https://hdl.handle.net/10356/137944
• Institution: Nanyang Technological University

Businesses are slowly shifting to social networking channels to market their products such as Twitter rather than traditional marketing and advertising. Brands create content to disseminate information to consumers. They use various methods to attract a large number of audiences such as likes and comments to gain popularity. These insights can prove useful to smaller start-up companies which can help them to generate new marketing ideas as well as advertisements. This project aims to develop a web platform to generate a popularity distribution among different data retrieved from Twitter. This will allow the smaller organization to find out various approaches of larger companies of their high level of interaction and audiences, and the difference in their interactivity level compared to those smaller companies.