Polarity Classification Tool for Sentiment Analysis in Malay Language

Awang Abu Bakar, Normi Sham and RAHMAT, ROS AZIEHAN and UTHMAN, UMAR FARUQ (2019) Polarity Classification Tool for Sentiment Analysis in Malay Language. IAES International Journal of Artificial Intelligence (IJ-AI), 8 (3). pp. 258-263. ISSN 2252-8938

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Abstract

The popularity of the social media channels has increased the interest among researchers in the sentiment analysis (SA) area. One aspect of the SA research is the determination of the polarity of the comments in the social media, i.e. positive, negative, and neutral. However, there is a scarcity of Malay sentiment analysis tools because most of the work in the literature discuss the polarity classification tool in English. This paper presents the development of a polarity classification tool called Malay Polarity Classification Tool (MaCT). This tool is developed based on the AFINN sentiment lexicon for English language. We have attempted to translate each word in AFINN to its Malay equivalent and later, use the lexicon to collect the sentiment data from Twitter. The Twitter data are then classified into positive, negative, and neutral. For the validation purpose, we collect 400 positive tweets, 400 negative tweets, and 200 neutral tweets, and later, run the tweets through our sentiment lexicon and found 90% score for precision, recall and accuracy. Our main contribution in the research is the new AFINN translation for Malay language and also the classification of the sentiment data.

Item Type:	Article (Journal)
Additional Information:	3509/75242
Uncontrolled Keywords:	Classification Malay sentiment analysis Polarity Sentiment lexicon Twitter data
Subjects:	T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr. Normi Sham Awang Abu Bakar
Date Deposited:	06 Nov 2019 09:18
Last Modified:	24 Nov 2019 21:35
URI:	http://irep.iium.edu.my/id/eprint/75242

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