Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/137944
Title: Mining social media data
Authors: Yak, Kenneth Yong Seng
Keywords: Engineering::Computer science and engineering::Computing methodologies::Document and text processing
Issue Date: 2020
Publisher: Nanyang Technological University
Project: SCSE19-0331
Abstract: 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.
URI: https://hdl.handle.net/10356/137944
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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