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

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.

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Abstract

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.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	3509/69472
Uncontrolled Keywords:	Indonesian affevtive words, valence and arousal, ANEW dataset, emotion classification
Subjects:	T Technology > T Technology (General) > T61 Technical education. Technical schools
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr. Normi Sham Awang Abu Bakar
Date Deposited:	14 Jan 2019 22:00
Last Modified:	14 Jun 2019 10:26
URI:	http://irep.iium.edu.my/id/eprint/69472

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