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

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 electroencephalo...

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Main Authors:	Hulliyah, Khodijah, Abdul Rahman, Abdul Wahab, Kamaruddin, Norhaslinda, Erdogan, Sevki Serkan, Durachman, Yusuf
Format:	Conference or Workshop Item
Language:	English English
Published:	2017
Subjects:	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/56925/ http://irep.iium.edu.my/56925/ http://irep.iium.edu.my/56925/ http://irep.iium.edu.my/56925/1/56925_Analysis%20of%20Indonesian%20sentiment.pdf http://irep.iium.edu.my/56925/2/56925_Analysis%20of%20Indonesian%20sentiment_SCOPUS.pdf

id	iium-56925
recordtype	eprints
spelling	iium-569252017-06-20T08:12:43Z http://irep.iium.edu.my/56925/ Analysis of Indonesian sentiment text based on affective space model (ASM) using electroencephalogram (EEG) signals Hulliyah, Khodijah Abdul Rahman, Abdul Wahab Kamaruddin, Norhaslinda Erdogan, Sevki Serkan Durachman, Yusuf TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices 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. 2017 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/56925/1/56925_Analysis%20of%20Indonesian%20sentiment.pdf application/pdf en http://irep.iium.edu.my/56925/2/56925_Analysis%20of%20Indonesian%20sentiment_SCOPUS.pdf 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. http://ieeexplore.ieee.org/document/7905738/?reload=true 10.1088/1757-899X/184/1/012023
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Hulliyah, Khodijah Abdul Rahman, Abdul Wahab Kamaruddin, Norhaslinda Erdogan, Sevki Serkan Durachman, Yusuf Analysis of Indonesian sentiment text based on affective space model (ASM) using electroencephalogram (EEG) signals
description	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.
format	Conference or Workshop Item
author	Hulliyah, Khodijah Abdul Rahman, Abdul Wahab Kamaruddin, Norhaslinda Erdogan, Sevki Serkan Durachman, Yusuf
author_facet	Hulliyah, Khodijah Abdul Rahman, Abdul Wahab Kamaruddin, Norhaslinda Erdogan, Sevki Serkan Durachman, Yusuf
author_sort	Hulliyah, Khodijah
title	Analysis of Indonesian sentiment text based on affective space model (ASM) using electroencephalogram (EEG) signals
title_short	Analysis of Indonesian sentiment text based on affective space model (ASM) using electroencephalogram (EEG) signals
title_full	Analysis of Indonesian sentiment text based on affective space model (ASM) using electroencephalogram (EEG) signals
title_fullStr	Analysis of Indonesian sentiment text based on affective space model (ASM) using electroencephalogram (EEG) signals
title_full_unstemmed	Analysis of Indonesian sentiment text based on affective space model (ASM) using electroencephalogram (EEG) signals
title_sort	analysis of indonesian sentiment text based on affective space model (asm) using electroencephalogram (eeg) signals
publishDate	2017
url	http://irep.iium.edu.my/56925/ http://irep.iium.edu.my/56925/ http://irep.iium.edu.my/56925/ http://irep.iium.edu.my/56925/1/56925_Analysis%20of%20Indonesian%20sentiment.pdf http://irep.iium.edu.my/56925/2/56925_Analysis%20of%20Indonesian%20sentiment_SCOPUS.pdf
first_indexed	2023-09-18T21:20:23Z
last_indexed	2023-09-18T21:20:23Z
_version_	1777411842385117184

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

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