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Development of multilingual social media data corpus for sentiment classification

The purpose of this study is to develop a corpus, which consists of 2 (two) languages: Bahasa Indonesia and Bahasa Melayu. In both languages, there are several similar vocabularies but have different meanings. The data used on this corpus, taken from social media that is Twitter and Facebook. Each l...

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Main Authors: Rumaisa, Fitrah, Basiron, Halizah, Saaya, Zurina
Format: Article
Language:English
Published: Institute of Advanced Scientific Research, Inc. 2019
Online Access:http://eprints.utem.edu.my/id/eprint/24479/2/ARTICLE-FITRAH-JARDCS.PDF
http://eprints.utem.edu.my/id/eprint/24479/
https://www.jardcs.org/abstract.php?id=794
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spelling my.utem.eprints.244792023-07-12T11:24:39Z http://eprints.utem.edu.my/id/eprint/24479/ Development of multilingual social media data corpus for sentiment classification Rumaisa, Fitrah Basiron, Halizah Saaya, Zurina The purpose of this study is to develop a corpus, which consists of 2 (two) languages: Bahasa Indonesia and Bahasa Melayu. In both languages, there are several similar vocabularies but have different meanings. The data used on this corpus, taken from social media that is Twitter and Facebook. Each language has 2100 words collected. After manual selection of words, there are 300 vocabularies that have different meanings. The words will be formed into the core of the formed corpus, regardless of the remaining words. This corpus will density on the polarity of each word per language type using automatic-annotation. So that will be formed two corpuses namely Bahasa Indonesia and Bahasa Melayu. This Corpus will be used in subsequent research on sentence-level annotation and demonstrated using manual annotations using human annotators. Institute of Advanced Scientific Research, Inc. 2019 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/24479/2/ARTICLE-FITRAH-JARDCS.PDF Rumaisa, Fitrah and Basiron, Halizah and Saaya, Zurina (2019) Development of multilingual social media data corpus for sentiment classification. Journal of Advanced Research in Dynamical and Control Systems, 11 (3). 286 - 293. ISSN 1943-023X https://www.jardcs.org/abstract.php?id=794
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description The purpose of this study is to develop a corpus, which consists of 2 (two) languages: Bahasa Indonesia and Bahasa Melayu. In both languages, there are several similar vocabularies but have different meanings. The data used on this corpus, taken from social media that is Twitter and Facebook. Each language has 2100 words collected. After manual selection of words, there are 300 vocabularies that have different meanings. The words will be formed into the core of the formed corpus, regardless of the remaining words. This corpus will density on the polarity of each word per language type using automatic-annotation. So that will be formed two corpuses namely Bahasa Indonesia and Bahasa Melayu. This Corpus will be used in subsequent research on sentence-level annotation and demonstrated using manual annotations using human annotators.
format Article
author Rumaisa, Fitrah
Basiron, Halizah
Saaya, Zurina
spellingShingle Rumaisa, Fitrah
Basiron, Halizah
Saaya, Zurina
Development of multilingual social media data corpus for sentiment classification
author_facet Rumaisa, Fitrah
Basiron, Halizah
Saaya, Zurina
author_sort Rumaisa, Fitrah
title Development of multilingual social media data corpus for sentiment classification
title_short Development of multilingual social media data corpus for sentiment classification
title_full Development of multilingual social media data corpus for sentiment classification
title_fullStr Development of multilingual social media data corpus for sentiment classification
title_full_unstemmed Development of multilingual social media data corpus for sentiment classification
title_sort development of multilingual social media data corpus for sentiment classification
publisher Institute of Advanced Scientific Research, Inc.
publishDate 2019
url http://eprints.utem.edu.my/id/eprint/24479/2/ARTICLE-FITRAH-JARDCS.PDF
http://eprints.utem.edu.my/id/eprint/24479/
https://www.jardcs.org/abstract.php?id=794
_version_ 1772816017521639424
score 13.160551

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