[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/1460563.1460612acmconferencesArticle/Chapter ViewAbstractPublication PagescscwConference Proceedingsconference-collections
short-paper

The language of emotion in short blog texts

Published: 08 November 2008 Publication History

Abstract

Emotion is central to human interactions, and automatic detection could enhance our experience with technologies. We investigate the linguistic expression of fine-grained emotion in 50 and 200 word samples of real blog texts previously coded by expert and naive raters. Content analysis (LIWC) reveals angry authors use more affective language and negative affect words, and that joyful authors use more positive affect words. Additionally, a co-occurrence semantic space approach (LSA) was able to identify fear (which naive human emotion raters could not do). We relate our findings to human emotion perception and note potential computational applications.

References

[1]
Cowie, R., Douglas-Cowie, E., Tsapatsoulis, N., Votsis, G., Kollias, S., Fellenz, W., & Taylor, J. G. (2001) Emotion recognition in human-computer interaction. IEEE Sig. Proc. Mag. Vol. 18(1), 32--80.
[2]
D'Mello, S., Craig, S, Witherspoon, A., McDaniel, B., & Graesser, A. (2008). Automatic detection of learner's affect from conversational cues. User Modeling and User-Adapted Interaction, 18(1--2), 45--80.
[3]
French, R. M. & Labiouse, C. (2002). Why co-occurrence information alone is not sufficient to answer subcognitive questions. Journal of Theoretical and Experimental Artificial Intelligence, 13(4), 419--429.
[4]
Fussell, S. R. (Ed.) (2002). The verbal communication of emotion: Interdisciplinary perspectives. Mahwah, NJ: LEA.
[5]
Gill, A. J., Gergle, D., French, R. M., & Oberlander, J. (2008). Emotion rating from short blog texts. Proc. ACM Conference on Human Factors in Computing Systems (CHI 2008), 1121--1124.
[6]
Hancock, J. T., Landrigan, C., & Silver, C. (2007). Expressing emotion in text-based communication. Proc. ACM Conference on Human Factors in Computing Systems (CHI 2007), 929--932.
[7]
Landauer, T. K., & Dumais, S. T. (1997). A solution to Plato's problem: The latent semantic analysis theory of the acquisition, induction, and representation of knowledge. Psychological Review, 104(2), 211--240.
[8]
Leshed, G. & Kaye, J. (2006). Understanding how bloggers feel: Recognizing affect in blog texts. Work in Progress, Proc. ACM Conference on Human Factors in Computing Systems (CHI 2006), 1019--1024.
[9]
Liu, H., Lieberman, H., & Selker, T. (2003). A model of textual affect sensing using real-world knowledge. Proc. 8th International Conference on Intelligent User Interfaces, 125--132.
[10]
Mishne, G. (2005). Experiments with mood classification in blog posts. Style Workshop, 28th Annual International ACM Conference on Research and Development in Information Retrieval (SIGIR 2005).
[11]
Nass, C., Jonsson, I.-M., Harris, H., Reaves, B., Endo, J., & Brave, S. (2005). Improving automotive safety by pairing driver emotion and car voice emotion. Proc. ACM Conference on Human Factors in Computing Systems (CHI 2005), 1973--1976.
[12]
Picard, R. (1997). Affective Computing. Cambridge, MA: MIT Press.
[13]
Pennebaker, J. & Francis, M. (1999). Linguistic Inquiry and Word Count. Mahwah, NJ: LEA.
[14]
Plutchik, R. (1994). The psychology and biology of emotion. New York, NY: HarperCollins.
[15]
Turney, P. D. (2002), Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. Proc. ACL'02, 417--424.
[16]
Wiebe, J., Wilson, T., & Cardie, C. (2005). Annotating expressions of opinions and emotions in language. Language Resources and Evaluation, 39, 65--210.

Cited By

View all
  • (2024)Prompt-based and Fine-tuned GPT Models for Context-Dependent and -Independent Deductive Coding in Social AnnotationProceedings of the 14th Learning Analytics and Knowledge Conference10.1145/3636555.3636910(518-528)Online publication date: 18-Mar-2024
  • (2024)Computational model of engagement with stigmatised sentiment: COVID and general vaccine discourse on social mediaNetwork Modeling Analysis in Health Informatics and Bioinformatics10.1007/s13721-024-00456-313:1Online publication date: 25-Apr-2024
  • (2023)NLP-based Emotions Analysis of the Marginalized Communities of Bangladesh2023 26th International Conference on Computer and Information Technology (ICCIT)10.1109/ICCIT60459.2023.10441517(1-6)Online publication date: 13-Dec-2023
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
CSCW '08: Proceedings of the 2008 ACM conference on Computer supported cooperative work
November 2008
752 pages
ISBN:9781605580074
DOI:10.1145/1460563
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 November 2008

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. affect
  2. blogs
  3. emotion
  4. language
  5. text analysis

Qualifiers

  • Short-paper

Conference

CSCW08
Sponsor:
CSCW08: Computer Supported Cooperative Work
November 8 - 12, 2008
CA, San Diego, USA

Acceptance Rates

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

Upcoming Conference

CSCW '25

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)81
  • Downloads (Last 6 weeks)13
Reflects downloads up to 19 Dec 2024

Other Metrics

Citations

Cited By

View all
  • (2024)Prompt-based and Fine-tuned GPT Models for Context-Dependent and -Independent Deductive Coding in Social AnnotationProceedings of the 14th Learning Analytics and Knowledge Conference10.1145/3636555.3636910(518-528)Online publication date: 18-Mar-2024
  • (2024)Computational model of engagement with stigmatised sentiment: COVID and general vaccine discourse on social mediaNetwork Modeling Analysis in Health Informatics and Bioinformatics10.1007/s13721-024-00456-313:1Online publication date: 25-Apr-2024
  • (2023)NLP-based Emotions Analysis of the Marginalized Communities of Bangladesh2023 26th International Conference on Computer and Information Technology (ICCIT)10.1109/ICCIT60459.2023.10441517(1-6)Online publication date: 13-Dec-2023
  • (2023)Social power may be associated with health through positive emotionThe Journal of General Psychology10.1080/00221309.2023.2261135151:3(314-334)Online publication date: 25-Sep-2023
  • (2023)Constructivist Approaches for Computational Emotions: A Systematic SurveyComputational Theory of Mind for Human-Machine Teams10.1007/978-3-031-21671-8_3(30-50)Online publication date: 1-Jan-2023
  • (2022)(Mis)translating Sensitive ContentTranslation Spaces10.1075/ts.21027.nar11:2(234-253)Online publication date: 8-Aug-2022
  • (2021)Understanding Women's Remote Collaborative Programming ExperiencesProceedings of the ACM on Human-Computer Interaction10.1145/34329524:CSCW3(1-29)Online publication date: 5-Jan-2021
  • (2021)Paradoxical positivity: Suicide notes use less distressed language than blogs about depression, suicidal thoughts, and even cookingSuicide and Life-Threatening Behavior10.1111/sltb.1278651:5(1005-1014)Online publication date: 29-Jun-2021
  • (2021)The Role of Online Social Support in Patients Undergoing Infertility Treatment – A Comparison of Pregnant and Non-pregnant MembersHealth Communication10.1080/10410236.2021.191551737:14(1724-1730)Online publication date: 15-Apr-2021
  • (2021)How epidemic psychology works on Twitter: evolution of responses to the COVID-19 pandemic in the U.S.Humanities and Social Sciences Communications10.1057/s41599-021-00861-38:1Online publication date: 23-Jul-2021
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media