Developing cross-lingual sentiment analysis of Malay Twitter data using lexicon-based approach

被引：0
|
作者：
Zabha N.I. [1 ]
Ayop Z. [1 ]
Anawar S. [1 ]
Hamid E. [1 ]
Abidin Z.Z. [1 ]
机构：
[1] Center for Advanced Computing Technology (C-ACT), Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka
来源：
International Journal of Advanced Computer Science and Applications | 2019年 / 10卷 / 01期
关键词：
Cross-lingual; Lexiconbased approach; Opinion mining; Sentiment analysis;
D O I：
10.14569/IJACSA.2019.0100146
中图分类号：
学科分类号：
摘要：
Sentiment analysis is a process of detecting and classifying sentiments into positive, negative or neutral. Most sentiment analysis research focus on English lexicon vocabularies. However, Malay is still under-resourced. Research of sentiment analysis in Malaysia social media is challenging due to mixed language usage of English and Malay. The objective of this study was to develop a cross-lingual sentiment analysis using lexicon based approach. Two lexicons of languages are combined in the system, then, the Twitter data were collected and the results were determined using graph. The results showed that the classifier was able to determine the sentiments. This study is significant for companies and governments to understand people's opinion on social network especially in Malay speaking regions. © 2018 The Science and Information (SAI) Organization Limited.
引用
收藏
页码：346 / 351
页数：5
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