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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/56925/1/56925_Analysis%20of%20Indonesian%20sentiment.pdf
http://irep.iium.edu.my/56925/2/56925_Analysis%20of%20Indonesian%20sentiment_SCOPUS.pdf
http://irep.iium.edu.my/56925/
http://ieeexplore.ieee.org/document/7905738/?reload=true
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spelling my.iium.irep.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 REM 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/56925/1/56925_Analysis%20of%20Indonesian%20sentiment.pdf
http://irep.iium.edu.my/56925/2/56925_Analysis%20of%20Indonesian%20sentiment_SCOPUS.pdf
http://irep.iium.edu.my/56925/
http://ieeexplore.ieee.org/document/7905738/?reload=true
_version_ 1643615028962656256
score 13.211869

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