Indonesian affective word resources construction in valence and arousal dimension for sentiment analysis

Research in the field of text analysis will always be related to words, either the selection of words to be used or the position of the words in a sentence. Furthermore, a hypothesis that each language difference can cause different meanings, makes some researchers interested in doing research c...

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Main Authors: Hulliyah, Khodijah, Sukmana, Husni Teja, Awang Abu Bakar, Normi Sham, Ismail, Amelia Ritahani
Format: Proceeding Paper
Language:English
English
Published: IEEE 2019
Subjects:
Online Access:http://irep.iium.edu.my/69472/
http://irep.iium.edu.my/69472/7/69472%20Indonesian%20Affective%20Word%20Resources.pdf
http://irep.iium.edu.my/69472/8/69472%20Indonesian%20Affective%20Word%20Resources%20SCOPUS.pdf
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author Hulliyah, Khodijah
Sukmana, Husni Teja
Awang Abu Bakar, Normi Sham
Ismail, Amelia Ritahani
author_facet Hulliyah, Khodijah
Sukmana, Husni Teja
Awang Abu Bakar, Normi Sham
Ismail, Amelia Ritahani
author_sort Hulliyah, Khodijah
building IIUM Repository
collection Online Access
description Research in the field of text analysis will always be related to words, either the selection of words to be used or the position of the words in a sentence. Furthermore, a hypothesis that each language difference can cause different meanings, makes some researchers interested in doing research classifying words based on emotion or affective words. Research focuses on affective states as a continuous numerical value to the dimensions of valence and arousal. Sentiment analysis that is usually done with positive and negative category approaches, nowadays, the dimensional approach can provide more analysis of grained sentiments. On the other hand, the affective words dataset with valence and arousal rating are still very rare, especially for the Indonesian language. Therefore, this research does an affective lexicon dataset called Indonesian Valence and Arousal Words (IVAW) containing 1024 words by Self-Assessment Manikin (SAM) surveys. Furthermore, for the next study, we will also crawls status in twitter based on selected words from IVAW to get Indonesian Valence and Arousal Text (IVAT). To predict VA rating for obtaining the advance of annotation quality, experiment will be compared by brain signal using EEG tool.
first_indexed 2025-11-14T17:19:53Z
format Proceeding Paper
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institution International Islamic University Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-14T17:19:53Z
publishDate 2019
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling iium-694722019-06-14T02:26:07Z http://irep.iium.edu.my/69472/ Indonesian affective word resources construction in valence and arousal dimension for sentiment analysis Hulliyah, Khodijah Sukmana, Husni Teja Awang Abu Bakar, Normi Sham Ismail, Amelia Ritahani T61 Technical education. Technical schools Research in the field of text analysis will always be related to words, either the selection of words to be used or the position of the words in a sentence. Furthermore, a hypothesis that each language difference can cause different meanings, makes some researchers interested in doing research classifying words based on emotion or affective words. Research focuses on affective states as a continuous numerical value to the dimensions of valence and arousal. Sentiment analysis that is usually done with positive and negative category approaches, nowadays, the dimensional approach can provide more analysis of grained sentiments. On the other hand, the affective words dataset with valence and arousal rating are still very rare, especially for the Indonesian language. Therefore, this research does an affective lexicon dataset called Indonesian Valence and Arousal Words (IVAW) containing 1024 words by Self-Assessment Manikin (SAM) surveys. Furthermore, for the next study, we will also crawls status in twitter based on selected words from IVAW to get Indonesian Valence and Arousal Text (IVAT). To predict VA rating for obtaining the advance of annotation quality, experiment will be compared by brain signal using EEG tool. IEEE 2019-03-28 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/69472/7/69472%20Indonesian%20Affective%20Word%20Resources.pdf application/pdf en http://irep.iium.edu.my/69472/8/69472%20Indonesian%20Affective%20Word%20Resources%20SCOPUS.pdf Hulliyah, Khodijah and Sukmana, Husni Teja and Awang Abu Bakar, Normi Sham and Ismail, Amelia Ritahani (2019) Indonesian affective word resources construction in valence and arousal dimension for sentiment analysis. In: The 6th International Conference on Cyber and IT Service Management (CITSM 2018), 7th-9th August 2018, Parapat, Danau Toba, Indonesia. https://ieeexplore.ieee.org/document/8674370 10.1109/CITSM.2018.8674370
spellingShingle T61 Technical education. Technical schools
Hulliyah, Khodijah
Sukmana, Husni Teja
Awang Abu Bakar, Normi Sham
Ismail, Amelia Ritahani
Indonesian affective word resources construction in valence and arousal dimension for sentiment analysis
title Indonesian affective word resources construction in valence and arousal dimension for sentiment analysis
title_full Indonesian affective word resources construction in valence and arousal dimension for sentiment analysis
title_fullStr Indonesian affective word resources construction in valence and arousal dimension for sentiment analysis
title_full_unstemmed Indonesian affective word resources construction in valence and arousal dimension for sentiment analysis
title_short Indonesian affective word resources construction in valence and arousal dimension for sentiment analysis
title_sort indonesian affective word resources construction in valence and arousal dimension for sentiment analysis
topic T61 Technical education. Technical schools
url http://irep.iium.edu.my/69472/
http://irep.iium.edu.my/69472/
http://irep.iium.edu.my/69472/
http://irep.iium.edu.my/69472/7/69472%20Indonesian%20Affective%20Word%20Resources.pdf
http://irep.iium.edu.my/69472/8/69472%20Indonesian%20Affective%20Word%20Resources%20SCOPUS.pdf