Chinese Psychological Counseling Corpus Construction for Valence-Arousal Sentiment Intensity Prediction

Hsiu Min Shih; Tzu Mi Lin; Yu Wen Tzeng; Jung Ying Chang; Kuo Kai Shyu; Lung-Hao Lee

doi:10.1109/O-COCOSDA64382.2024.10800036

Chinese Psychological Counseling Corpus Construction for Valence-Arousal Sentiment Intensity Prediction

Hsiu Min Shih, Tzu Mi Lin, Yu Wen Tzeng, Jung Ying Chang, Kuo Kai Shyu, Lung-Hao Lee

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

While several dimensional sentiment resources with valence-arousal annotations exist, they are not appropriate for domain-specific sentiment applications, especially psychological counseling texts which usually contain more high-negative and high-arousal words and phrases. This study (1) builds a Chinese valence-arousal resource in the psychological counseling domain called CVAT-PC, the first text corpus including 2,400 multi-sentence texts for psychological counseling with valence-arousal ratings manually annotated based on the Self-Assessment Manikin (SAM) rating scale, and (2) evaluates the proposed resource using different transformer-based models, including ELECTRA, XLNet, BERT, MacBERT and RoBERTa. We plan to release the entire CVAT-PC corpus with fully annotated valence-arousal ratings to facilitate future development in related research areas.

Original language	English
Title of host publication	2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings
Editors	Ming-Hsiang Su, Jui-Feng Yeh, Yuan-Fu Liao, Chi-Chun Lee, Yu Taso
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331506032
DOIs	https://doi.org/10.1109/O-COCOSDA64382.2024.10800036
State	Published - 2024
Event	27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Hsinchu, Taiwan Duration: 17 Oct 2024 → 19 Oct 2024

Publication series

Name	2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings

Conference

Conference	27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024
Country/Territory	Taiwan
City	Hsinchu
Period	17/10/24 → 19/10/24

Keywords

affective computing
Dimensional sentiment analysis
valence-arousal prediction

Access to Document

10.1109/O-COCOSDA64382.2024.10800036

Cite this

Shih, H. M., Lin, T. M., Tzeng, Y. W., Chang, J. Y., Shyu, K. K., & Lee, L.-H. (2024). Chinese Psychological Counseling Corpus Construction for Valence-Arousal Sentiment Intensity Prediction. In M.-H. Su, J.-F. Yeh, Y.-F. Liao, C.-C. Lee, & Y. Taso (Eds.), 2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings (2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/O-COCOSDA64382.2024.10800036

Shih, Hsiu Min ; Lin, Tzu Mi ; Tzeng, Yu Wen et al. / Chinese Psychological Counseling Corpus Construction for Valence-Arousal Sentiment Intensity Prediction. 2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings. editor / Ming-Hsiang Su ; Jui-Feng Yeh ; Yuan-Fu Liao ; Chi-Chun Lee ; Yu Taso. Institute of Electrical and Electronics Engineers Inc., 2024. (2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings).

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title = "Chinese Psychological Counseling Corpus Construction for Valence-Arousal Sentiment Intensity Prediction",

abstract = "While several dimensional sentiment resources with valence-arousal annotations exist, they are not appropriate for domain-specific sentiment applications, especially psychological counseling texts which usually contain more high-negative and high-arousal words and phrases. This study (1) builds a Chinese valence-arousal resource in the psychological counseling domain called CVAT-PC, the first text corpus including 2,400 multi-sentence texts for psychological counseling with valence-arousal ratings manually annotated based on the Self-Assessment Manikin (SAM) rating scale, and (2) evaluates the proposed resource using different transformer-based models, including ELECTRA, XLNet, BERT, MacBERT and RoBERTa. We plan to release the entire CVAT-PC corpus with fully annotated valence-arousal ratings to facilitate future development in related research areas.",

keywords = "affective computing, Dimensional sentiment analysis, valence-arousal prediction",

author = "Shih, {Hsiu Min} and Lin, {Tzu Mi} and Tzeng, {Yu Wen} and Chang, {Jung Ying} and Shyu, {Kuo Kai} and Lung-Hao Lee",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 ; Conference date: 17-10-2024 Through 19-10-2024",

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editor = "Ming-Hsiang Su and Jui-Feng Yeh and Yuan-Fu Liao and Chi-Chun Lee and Yu Taso",

booktitle = "2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings",

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Shih, HM, Lin, TM, Tzeng, YW, Chang, JY, Shyu, KK & Lee, L-H 2024, Chinese Psychological Counseling Corpus Construction for Valence-Arousal Sentiment Intensity Prediction. in M-H Su, J-F Yeh, Y-F Liao, C-C Lee & Y Taso (eds), 2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings. 2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024, Hsinchu, Taiwan, 17/10/24. https://doi.org/10.1109/O-COCOSDA64382.2024.10800036

Chinese Psychological Counseling Corpus Construction for Valence-Arousal Sentiment Intensity Prediction. / Shih, Hsiu Min; Lin, Tzu Mi; Tzeng, Yu Wen et al.
2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings. ed. / Ming-Hsiang Su; Jui-Feng Yeh; Yuan-Fu Liao; Chi-Chun Lee; Yu Taso. Institute of Electrical and Electronics Engineers Inc., 2024. (2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Chinese Psychological Counseling Corpus Construction for Valence-Arousal Sentiment Intensity Prediction

AU - Shih, Hsiu Min

AU - Lin, Tzu Mi

AU - Tzeng, Yu Wen

AU - Chang, Jung Ying

AU - Shyu, Kuo Kai

AU - Lee, Lung-Hao

PY - 2024

Y1 - 2024

N2 - While several dimensional sentiment resources with valence-arousal annotations exist, they are not appropriate for domain-specific sentiment applications, especially psychological counseling texts which usually contain more high-negative and high-arousal words and phrases. This study (1) builds a Chinese valence-arousal resource in the psychological counseling domain called CVAT-PC, the first text corpus including 2,400 multi-sentence texts for psychological counseling with valence-arousal ratings manually annotated based on the Self-Assessment Manikin (SAM) rating scale, and (2) evaluates the proposed resource using different transformer-based models, including ELECTRA, XLNet, BERT, MacBERT and RoBERTa. We plan to release the entire CVAT-PC corpus with fully annotated valence-arousal ratings to facilitate future development in related research areas.

AB - While several dimensional sentiment resources with valence-arousal annotations exist, they are not appropriate for domain-specific sentiment applications, especially psychological counseling texts which usually contain more high-negative and high-arousal words and phrases. This study (1) builds a Chinese valence-arousal resource in the psychological counseling domain called CVAT-PC, the first text corpus including 2,400 multi-sentence texts for psychological counseling with valence-arousal ratings manually annotated based on the Self-Assessment Manikin (SAM) rating scale, and (2) evaluates the proposed resource using different transformer-based models, including ELECTRA, XLNet, BERT, MacBERT and RoBERTa. We plan to release the entire CVAT-PC corpus with fully annotated valence-arousal ratings to facilitate future development in related research areas.

KW - affective computing

KW - Dimensional sentiment analysis

KW - valence-arousal prediction

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U2 - 10.1109/O-COCOSDA64382.2024.10800036

DO - 10.1109/O-COCOSDA64382.2024.10800036

M3 - 會議論文篇章

AN - SCOPUS:85215665942

T3 - 2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings

BT - 2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings

A2 - Su, Ming-Hsiang

A2 - Yeh, Jui-Feng

A2 - Liao, Yuan-Fu

A2 - Lee, Chi-Chun

A2 - Taso, Yu

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024

Y2 - 17 October 2024 through 19 October 2024

ER -

Shih HM, Lin TM, Tzeng YW, Chang JY, Shyu KK, Lee LH. Chinese Psychological Counseling Corpus Construction for Valence-Arousal Sentiment Intensity Prediction. In Su MH, Yeh JF, Liao YF, Lee CC, Taso Y, editors, 2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2024. (2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings). doi: 10.1109/O-COCOSDA64382.2024.10800036

Chinese Psychological Counseling Corpus Construction for Valence-Arousal Sentiment Intensity Prediction

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