Towards text-based emotion detection: A survey and possible improvements

Edward Chao Chun Kao; Chun Chieh Liu; Ting Hao Yang; Chang Tai Hsieh; Von Wun Soo

doi:10.1109/ICIME.2009.113

Towards text-based emotion detection: A survey and possible improvements

Edward Chao Chun Kao, Chun Chieh Liu, Ting Hao Yang, Chang Tai Hsieh, Von Wun Soo

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

77 Scopus citations

Abstract

This paper presents an overview of the emerging field of emotion detection from text and describes the current generation of detection methods that are usually divided into the following three main categories: keyword-based, learningbased, and hybrid recommendation approaches. Limitations of current detection methods are examined, and possible solutions are suggested to improve emotion detection capabilities in practical systems, which emphasize on human-computer interactions. These solutions include extracting keywords with semantic analysis, and ontology design with emotion theory of appraisal. Furthermore, a case-based reasoning architecture is proposed to combine these solutions.

Original language	English
Title of host publication	Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009
Pages	70-74
Number of pages	5
DOIs	https://doi.org/10.1109/ICIME.2009.113
State	Published - 2009
Externally published	Yes
Event	2009 International Conference on Information Management and Engineering, ICIME 2009 - Kuala Lumpur, Malaysia Duration: 03 04 2009 → 05 04 2009

Publication series

Name	Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009

Conference

Conference	2009 International Conference on Information Management and Engineering, ICIME 2009
Country/Territory	Malaysia
City	Kuala Lumpur
Period	03/04/09 → 05/04/09

Keywords

Case-based reasoning
Emotion detection
Ontology

Access to Document

10.1109/ICIME.2009.113

Cite this

Kao, E. C. C., Liu, C. C., Yang, T. H., Hsieh, C. T., & Soo, V. W. (2009). Towards text-based emotion detection: A survey and possible improvements. In Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009 (pp. 70-74). Article 5077000 (Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009). https://doi.org/10.1109/ICIME.2009.113

@inproceedings{71120e2497644f4fb4cae7cb2ff64a94,

title = "Towards text-based emotion detection: A survey and possible improvements",

abstract = "This paper presents an overview of the emerging field of emotion detection from text and describes the current generation of detection methods that are usually divided into the following three main categories: keyword-based, learningbased, and hybrid recommendation approaches. Limitations of current detection methods are examined, and possible solutions are suggested to improve emotion detection capabilities in practical systems, which emphasize on human-computer interactions. These solutions include extracting keywords with semantic analysis, and ontology design with emotion theory of appraisal. Furthermore, a case-based reasoning architecture is proposed to combine these solutions.",

keywords = "Case-based reasoning, Emotion detection, Ontology",

author = "Kao, {Edward Chao Chun} and Liu, {Chun Chieh} and Yang, {Ting Hao} and Hsieh, {Chang Tai} and Soo, {Von Wun}",

year = "2009",

doi = "10.1109/ICIME.2009.113",

language = "英语",

isbn = "9780769535951",

series = "Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009",

pages = "70--74",

booktitle = "Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009",

note = "2009 International Conference on Information Management and Engineering, ICIME 2009 ; Conference date: 03-04-2009 Through 05-04-2009",

}

Kao, ECC, Liu, CC, Yang, TH, Hsieh, CT & Soo, VW 2009, Towards text-based emotion detection: A survey and possible improvements. in Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009., 5077000, Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009, pp. 70-74, 2009 International Conference on Information Management and Engineering, ICIME 2009, Kuala Lumpur, Malaysia, 03/04/09. https://doi.org/10.1109/ICIME.2009.113

Towards text-based emotion detection: A survey and possible improvements. / Kao, Edward Chao Chun; Liu, Chun Chieh; Yang, Ting Hao et al.
Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009. 2009. p. 70-74 5077000 (Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009).

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

TY - GEN

T1 - Towards text-based emotion detection

T2 - 2009 International Conference on Information Management and Engineering, ICIME 2009

AU - Kao, Edward Chao Chun

AU - Liu, Chun Chieh

AU - Yang, Ting Hao

AU - Hsieh, Chang Tai

AU - Soo, Von Wun

PY - 2009

Y1 - 2009

N2 - This paper presents an overview of the emerging field of emotion detection from text and describes the current generation of detection methods that are usually divided into the following three main categories: keyword-based, learningbased, and hybrid recommendation approaches. Limitations of current detection methods are examined, and possible solutions are suggested to improve emotion detection capabilities in practical systems, which emphasize on human-computer interactions. These solutions include extracting keywords with semantic analysis, and ontology design with emotion theory of appraisal. Furthermore, a case-based reasoning architecture is proposed to combine these solutions.

AB - This paper presents an overview of the emerging field of emotion detection from text and describes the current generation of detection methods that are usually divided into the following three main categories: keyword-based, learningbased, and hybrid recommendation approaches. Limitations of current detection methods are examined, and possible solutions are suggested to improve emotion detection capabilities in practical systems, which emphasize on human-computer interactions. These solutions include extracting keywords with semantic analysis, and ontology design with emotion theory of appraisal. Furthermore, a case-based reasoning architecture is proposed to combine these solutions.

KW - Case-based reasoning

KW - Emotion detection

KW - Ontology

UR - http://www.scopus.com/inward/record.url?scp=70349501958&partnerID=8YFLogxK

U2 - 10.1109/ICIME.2009.113

DO - 10.1109/ICIME.2009.113

M3 - 会议稿件

AN - SCOPUS:70349501958

SN - 9780769535951

T3 - Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009

SP - 70

EP - 74

BT - Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009

Y2 - 3 April 2009 through 5 April 2009

ER -

Kao ECC, Liu CC, Yang TH, Hsieh CT, Soo VW. Towards text-based emotion detection: A survey and possible improvements. In Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009. 2009. p. 70-74. 5077000. (Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009). doi: 10.1109/ICIME.2009.113

Towards text-based emotion detection: A survey and possible improvements

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this