Building a malay-english code-switching subjectivity corpus for sentiment analysis

Kasmuri, Emaliana and Basiron, Halizah (2019) Building a malay-english code-switching subjectivity corpus for sentiment analysis. International Journal of Advances in Soft Computing and its Applications, 11 (1). pp. 112-130. ISSN 2074-8523

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Abstract

Combining of local and foreign language in single utterance has become a norm in multi-ethnic region. This phenomenon is known as code-switching. Code-switching has become a new challenge in sentiment analysis when the Internet users express their opinion in blogs, reviews and social network sites. The resources to process code-switching text in sentiment analysis is scarce especially annotated corpus. This paper develops a guideline to build a code-switching subjectivity corpus for a mix of Malay and English language known as MY-EN-CS. The guideline is suitable for any code-switching textual document. This paper built a new MY-EN-CS to demonstrate the guideline. The corpus consists of opinionated and factual sentences that are constructed from combination of words from these the languages. The sentences were retrieved from blogs and MY-EN-CS sentences are identified and annotated either as opinionated or factual. The annotated task yields 0.83 Kappa value rate that indicates the reliability of this corpus.

Item Type:	Article
Uncontrolled Keywords:	Annotation guideline, Code-switching corpus, Sentiment analysis, Subjectivity corpus
Divisions:	Faculty of Information and Communication Technology
Depositing User:	Sabariah Ismail
Date Deposited:	03 Dec 2020 16:27
Last Modified:	12 Jul 2023 11:22
URI:	http://eprints.utem.edu.my/id/eprint/24469
Statistic Details:	View Download Statistic

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