Analysing the impact of social media on online shopping platform sales by using sentiment analysis with text mining

Xu, Xiyao (2019) Analysing the impact of social media on online shopping platform sales by using sentiment analysis with text mining. Masters thesis, Dublin, National College of Ireland.

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Abstract

With the continuous development of the shopping platform today, more and more people have entered the industry of online shopping platform merchants, and there are also countless consumers shopping on the Internet. Huge turnover conceals huge business opportunities. The purpose of this article is to use sentiment analysis technology to study people's attention to clothing features on social media and extract the keywords of clothing features as a bridge between seller sales and consumer to study whether this attention can be used by online merchants when they are planning the stock. While since people consider many factors when deciding whether to spend money on shopping, the study found that this attention is a very small factor to sellers.

Item Type:	Thesis (Masters)
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150 Computer Network Resources > The Internet > World Wide Web > Websites > Online social networks T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > The Internet > World Wide Web > Websites > Online social networks
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Dan English
Date Deposited:	10 Jun 2020 14:58
Last Modified:	10 Jun 2020 14:58
URI:	https://norma.ncirl.ie/id/eprint/4262

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