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Analysis of Indonesian sentiment text based on affective space model (ASM) using electroencephalogram (EEG) signals

Hulliyah, Khodijah and Abdul Rahman, Abdul Wahab and Kamaruddin, Norhaslinda and Erdogan, Sevki Serkan and Durachman, Yusuf (2017) Analysis of Indonesian sentiment text based on affective space model (ASM) using electroencephalogram (EEG) signals. In: 11st International Conference on Informatics and Computing (ICIC 2016), 28th-29th Oct. 2016, Mataram; Indonesi.

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Abstract

The affective space model (ASM) based on the valence and arousal (VA) has been used by many researchers in determining the emotional state of an individual. Psychologist uses the self assessment maniquin (SAM) while other researchers uses the facial patterns, voice emotions and also electroencephalogram (EEG) signals to obtain the category of Sentiment analysis (SA) based on VA as the two dimensional approach represents affective state. However, getting affective words with VA scores are still infrequently used, even though these VA lexicon are advantageous resource in creating application of sentiment, especially in the Indonesian language and can be used as a corpus for SA. Thus this paper proposes to design and analyze Indonesian affective lexicons based on affective norm english word (ANEW) for automatic determination of VA rating of words. In this research, we proposed to develop an extensive number of sentiment states in Indonesian language that have been placed in terms of VA using SAM and would be correlated with EEG as a comprehensive tool of Neuro Physiological Signal for the emotion sentiment corpus rating.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 6145/56925
Uncontrolled Keywords: ANEW, Valence and Arousal, Sentiment Analysis, SAM, EEG
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Information and Communication Technology
Kulliyyah of Information and Communication Technology
Depositing User: Prof Abdul Wahab Abdul Rahman
Date Deposited: 20 Jun 2017 08:12
Last Modified: 20 Jun 2017 08:12
URI: http://irep.iium.edu.my/id/eprint/56925

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