Understanding how bloggers feel

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Understanding how bloggers feel: recognizing affect in blog posts

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Conference on Human Factors in Computing Systems archive
CHI '06 extended abstracts on Human factors in computing systems table of contents

Montréal, Québec, Canada

SESSION: Work-in-progress table of contents

Pages: 1019 - 1024

Year of Publication: 2006

ISBN:1-59593-298-4

Authors

Gilly Leshed	Cornell University, Ithaca, NY
Joseph 'Jofish' Kaye	Cornell University, Ithaca, NY

Sponsors

ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 16, Downloads (12 Months): 158, Citation Count: 8

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abstract references cited by index terms collaborative colleagues

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ABSTRACT

One of the goals of affective computing is to recognize human emotions. We present a system that learns to recognize emotions based on textual resources and test it on a large number of blog entries tagged with moods by their authors. We show how a machine-learning approach can be used to gain insight into the way writers convey and interpret their own emotions, and provide nuanced mood associations for a large wordlist.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Cohn, M. A., Mehl, M. R., and Pennebaker, J. W. (2004). Linguistic Markers of Psychological Change Surrounding September 11, 2001. Psych. Science, 15.
	2	Cowie, R., Douglas-Cowie, E., Tsapatsoulis, N., Votsis, G., Kollias, S., Fellenz, W., and Taylor, J. G. (2001) Emotion Recognition in Human-Computer Interaction. IEEE Signal Processing Mag., Jan 2001.
	3	Ekman, P. (1993). Facial expressions of emotion. Am. Psychologist, 48, 384--392.
	4	Thorsten Joachims, Text Categorization with Suport Vector Machines: Learning with Many Relevant Features, Proceedings of the 10th European Conference on Machine Learning, p.137-142, April 21-23, 1998
	5	Hugo Liu , Henry Lieberman , Ted Selker, A model of textual affect sensing using real-world knowledge, Proceedings of the 8th international conference on Intelligent user interfaces, January 12-15, 2003, Miami, Florida, USA [doi>10.1145/604045.604067]
	6	Mishne, G. (2005). Experiments with Mood Classification in Blog Posts. Proc. Style2005 in SIGIR 2005.
	7	Bo Pang , Lillian Lee , Shivakumar Vaithyanathan, Thumbs up?: sentiment classification using machine learning techniques, Proceedings of the ACL-02 conference on Empirical methods in natural language processing, p.79-86, July 06, 2002 [doi>10.3115/1118693.1118704]
	8	Rosalind W. Picard, Affective computing, MIT Press, Cambridge, MA, 1997
	9	Fabrizio Sebastiani, Machine learning in automated text categorization, ACM Computing Surveys (CSUR), v.34 n.1, p.1-47, March 2002 [doi>10.1145/505282.505283]

CITED BY 8

	Alastair J. Gill , Robert M. French , Darren Gergle , Jon Oberlander, The language of emotion in short blog texts, Proceedings of the ACM 2008 conference on Computer supported cooperative work, November 08-12, 2008, San Diego, CA, USA
	Deanna J. Osman , John L. Yearwood, Opinion search in web logs, Proceedings of the eighteenth conference on Australasian database, p.133-139, January 30-February 02, 2007, Ballarat, Victoria, Australia
	Xiaochuan Ni , Gui-Rong Xue , Xiao Ling , Yong Yu , Qiang Yang, Exploring in the weblog space by detecting informative and affective articles, Proceedings of the 16th international conference on World Wide Web, May 08-12, 2007, Banff, Alberta, Canada
	Rui Cai , Chao Zhang , Chong Wang , Lei Zhang , Wei-Ying Ma, MusicSense: contextual music recommendation using emotional allocation modeling, Proceedings of the 15th international conference on Multimedia, September 25-29, 2007, Augsburg, Germany
	April M. Wensel , Sara O. Sood, VIBES: visualizing changing emotional states in personal stories, Proceeding of the 2nd ACM international workshop on Story representation, mechanism and context, October 31-31, 2008, Vancouver, British Columbia, Canada
	Xiaoguang Qi , Brian D. Davison, Web page classification: Features and algorithms, ACM Computing Surveys (CSUR), v.41 n.2, p.1-31, February 2009
	Huifeng Tang , Songbo Tan , Xueqi Cheng, A survey on sentiment detection of reviews, Expert Systems with Applications: An International Journal, v.36 n.7, p.10760-10773, September, 2009
	Erik Boiy , Marie-Francine Moens, A machine learning approach to sentiment analysis in multilingual Web texts, Information Retrieval, v.12 n.5, p.526-558, October 2009