Generating a Malay sentiment lexicon based on wordnet

Sentiment lexicon is a list of vocabularies that consists of positive and negative words. In opinion mining, sentiment lexicon is one of the important source in text polarity classification task in sentiment analysis model. Studies in Malay sentiment analysis is increasing since the volume of sentim...

Full description

Bibliographic Details
Main Authors:	Nur Sharmini Alexander, Nazlia Omar
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2017
Online Access:	http://journalarticle.ukm.my/11848/ http://journalarticle.ukm.my/11848/ http://journalarticle.ukm.my/11848/1/21974-63193-1-PB.pdf

id	ukm-11848
recordtype	eprints
spelling	ukm-118482018-07-09T00:46:48Z http://journalarticle.ukm.my/11848/ Generating a Malay sentiment lexicon based on wordnet Nur Sharmini Alexander, Nazlia Omar, Sentiment lexicon is a list of vocabularies that consists of positive and negative words. In opinion mining, sentiment lexicon is one of the important source in text polarity classification task in sentiment analysis model. Studies in Malay sentiment analysis is increasing since the volume of sentiment data is growing on social media. Therefore, requirement in Malay sentiment lexicon is high. However, Malay sentiment lexicon development is a difficult task due to the scarcity of Malay language resource. Thus, various approaches and techniques are used to generate sentiment lexicon. The objective of this paper is to develop Malay sentiment lexicon generation algorithm based on WordNet. In this study, the method is to map the WordNet Bahasa with English WordNet to get the offset value of a seed set of sentiment words. The seed set is used to generate the synonym and antonym semantic relation in English WordNet. The highest result achives 86.58% agreement with human annotators and 91.31% F1-measure in word polarity classification. The result shows the effectiveness of the proposed algorithm to generate Malay sentiment lexicon based on WordNet. Penerbit Universiti Kebangsaan Malaysia 2017-06 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/11848/1/21974-63193-1-PB.pdf Nur Sharmini Alexander, and Nazlia Omar, (2017) Generating a Malay sentiment lexicon based on wordnet. Asia-Pacific Journal of Information Technology and Multimedia, 6 (1). pp. 126-140. ISSN 2289-2192 http://ejournal.ukm.my/apjitm/issue/view/899
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	Sentiment lexicon is a list of vocabularies that consists of positive and negative words. In opinion mining, sentiment lexicon is one of the important source in text polarity classification task in sentiment analysis model. Studies in Malay sentiment analysis is increasing since the volume of sentiment data is growing on social media. Therefore, requirement in Malay sentiment lexicon is high. However, Malay sentiment lexicon development is a difficult task due to the scarcity of Malay language resource. Thus, various approaches and techniques are used to generate sentiment lexicon. The objective of this paper is to develop Malay sentiment lexicon generation algorithm based on WordNet. In this study, the method is to map the WordNet Bahasa with English WordNet to get the offset value of a seed set of sentiment words. The seed set is used to generate the synonym and antonym semantic relation in English WordNet. The highest result achives 86.58% agreement with human annotators and 91.31% F1-measure in word polarity classification. The result shows the effectiveness of the proposed algorithm to generate Malay sentiment lexicon based on WordNet.
format	Article
author	Nur Sharmini Alexander, Nazlia Omar,
spellingShingle	Nur Sharmini Alexander, Nazlia Omar, Generating a Malay sentiment lexicon based on wordnet
author_facet	Nur Sharmini Alexander, Nazlia Omar,
author_sort	Nur Sharmini Alexander,
title	Generating a Malay sentiment lexicon based on wordnet
title_short	Generating a Malay sentiment lexicon based on wordnet
title_full	Generating a Malay sentiment lexicon based on wordnet
title_fullStr	Generating a Malay sentiment lexicon based on wordnet
title_full_unstemmed	Generating a Malay sentiment lexicon based on wordnet
title_sort	generating a malay sentiment lexicon based on wordnet
publisher	Penerbit Universiti Kebangsaan Malaysia
publishDate	2017
url	http://journalarticle.ukm.my/11848/ http://journalarticle.ukm.my/11848/ http://journalarticle.ukm.my/11848/1/21974-63193-1-PB.pdf
first_indexed	2023-09-18T20:01:17Z
last_indexed	2023-09-18T20:01:17Z
_version_	1777406865272995840

Generating a Malay sentiment lexicon based on wordnet

Similar Items