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
相关论文
共 50 条
  • [31] Real-Time Lexicon-Based Sentiment Analysis Experiments On Twitter With A Mild (More Information, Less Data)
    Arslan, Yusuf
    Birturk, Aysenur
    Djumabaev, Bekjan
    Kucuk, Dilek
    2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2017, : 1892 - 1897
  • [32] A multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM
    Miah, Md Saef Ullah
    Kabir, Md Mohsin
    Bin Sarwar, Talha
    Safran, Mejdl
    Alfarhood, Sultan
    Mridha, M. F.
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [33] Towards enhancement of a lexicon-based approach for Saudi dialect sentiment analysis
    Assiri, Adel
    Emam, Ahmed
    Al-Dossari, Hmood
    JOURNAL OF INFORMATION SCIENCE, 2018, 44 (02) : 184 - 202
  • [34] A generic lexicon-based framework for sentiment analysis
    Moussa M.E.
    Mohamed E.H.
    Haggag M.H.
    International Journal of Computers and Applications, 2020, 42 (05) : 463 - 473
  • [35] The Lexicon-based Sentiment Analysis for Fan Page Ranking in Facebook
    Ngoc, Phan Trong
    Yoo, Myungsik
    2014 INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN 2014), 2014, : 444 - 448
  • [36] Sentiment Analysis Using Lexicon Based Approach
    Singh, Vijendra
    Singh, Gurdeep
    Rastogi, Priyanka
    Deswal, Devanshi
    2018 FIFTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND GRID COMPUTING (IEEE PDGC), 2018, : 13 - 18
  • [37] A Survey of Cross-lingual Sentiment Analysis: Methodologies, Models and Evaluations
    Yuemei Xu
    Han Cao
    Wanze Du
    Wenqing Wang
    Data Science and Engineering, 2022, 7 : 279 - 299
  • [38] A Survey of Cross-lingual Sentiment Analysis: Methodologies, Models and Evaluations
    Xu, Yuemei
    Cao, Han
    Du, Wanze
    Wang, Wenqing
    DATA SCIENCE AND ENGINEERING, 2022, 7 (03) : 279 - 299
  • [39] Sentiment Analysis on Twitter Using the Combination of Lexicon-Based and Support Vector Machine for Assessing the Performance of a Television Program
    Tiara
    Sabariah, Mira Kania
    Effendy, Veronikha
    2015 3rd International Conference on Information and Communication Technology (ICoICT), 2015, : 386 - 390
  • [40] An Experimental Study of Lexicon-based Sentiment Analysis on Bahasa Indonesia
    Pamungkas, Endang Wahyu
    Putri, Divi Galih Prasetyo
    2016 6TH INTERNATIONAL ANNUAL ENGINEERING SEMINAR (INAES), 2016, : 28 - 31
12345