Citation

Koh, Chiu Lin and Haw, Su Cheng and Soon, Lay Ki (2019) Popularity of University based on Sentiment Analysis in Social Network Media. International Journal of Recent Technology and Engineering, 8 (3S). pp. 25-30. ISSN 2277-3878

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Abstract

Since the emergence of the social media, many studies are conducted on social media to gain information on social media users. Among these studies are sentiment analysis which is an analysis of user sentiments and emotions towards an object, term, or event based on what they post. Sentiment analysis are often conducted on sites like Facebook and Twitter because of their huge number of users and popularity. This paper aims to create a GUI-based sentiment analysis application to find out popularity of universities based on Twitter user’s sentiment. For this purpose, we firstly collected 600 tweets datasets, which is a mixture of 200 tweets each from Princeton University, Stanford University and University of Oxford for a period of 4 days (12/1/2018 to 15/1/2018). Second, the tweets were classified based on their sentiment into “positive”, "neutral" and “negative” tweets. Finally, the results were being analyzed in terms of Precision, Recall and F1 score. These information will help universities to gather information of public sentiment towards their institution and allow them to recognize their strength and weakness. Universities can use that information to improve their public image if needed in the future.

Item Type:	Article
Uncontrolled Keywords:	Data mining, sentiment analysis, crawler, university popularity, social network, opinion mining
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75-76.95 Calculating machines
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	07 Sep 2021 13:38
Last Modified:	07 Sep 2021 13:38
URII:	http://shdl.mmu.edu.my/id/eprint/8757

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