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Whose thumb is it anyway?: classifying author personality from weblog text

Published: 17 July 2006 Publication History

Abstract

We report initial results on the relatively novel task of automatic classification of author personality. Using a corpus of personal weblogs, or 'blogs', we investigate the accuracy that can be achieved when classifying authors on four important personality traits. We explore both binary and multiple classification, using differing sets of n-gram features. Results are promising for all four traits examined.

References

[1]
Shlomo Argamon, Marin Saric, and Sterling S. Stein. 2003. Style mining of electronic messages for multiple authorship discrimination: first results. In Proceedings of SIGKDD, pages 475--480.
[2]
Shlomo Argamon, Sushant Dhawle, Moshe Koppel, and James W. Pennebaker. 2005. Lexical predictors of personality type. In Proceedings of the 2005 Joint Annual Meeting of the Interface and the Classification Society of North America.
[3]
Satanjeev Banerjee and Ted Pedersen. 2003. The design, implementation, and use of the ngram statistics package. In Proceedings of the Fourth International Conference on Intelligent Text Processing and Computational Linguistics, pages 370--381, Mexico City.
[4]
Tom Buchanan. 2001. Online implementation of an IPIP five factor personality inventory {web page}. http://users.wmin.ac.uk/~buchant/wwwffi/introduction.html {Accessed 25/10/05}.
[5]
Paul T. Costa and Robert R. McCrae, 1992. Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI): Professional Manual. Odessa, FL: Psychological Assessment Resources.
[6]
Kushal Dave, Steve Lawrence, and David M. Pennock. 2003. Mining the peanut gallery: opinion extraction and semantic classification of product reviews. In Proceedings of the 12th International Conference on World Wide Web, pages 519--528. ACM Press.
[7]
Jean-Marc Dewaele and Adrian Furnham. 1999. Extraversion: The unloved variable in applied linguistic research. Language Learning, 49:509--544.
[8]
Alastair J. Gill, Jon Oberlander, and Elizabeth Austin. 2006. Rating e-mail personality at zero acquaintance. Personality and Individual Differences, 40:497--507.
[9]
Moshe Koppel, Shlomo Argamon, and Arat Shimoni. 2002. Automatically categorizing written texts by author gender. Literary and Linguistic Computing, 17(4):401--412.
[10]
Hugo Liu, Henry Lieberman, and Ted Selker. 2003. A model of textual affect sensing using real-world knowledge. In Proceedings of the 7th International Conference on Intelligent User Interfaces.
[11]
Gerald Matthews, Ian J. Deary, and Martha C. Whiteman. 2003. Personality Traits. Cambridge University Press, Cambridge, 2nd edition.
[12]
Gilad Mishne. 2005. Experiments with mood classification in blog posts. In Proceedings of ACM SIGIR 2005 Workshop on Stylistic Analysis of Text for Information Access.
[13]
Scott Nowson. 2006. The Language of Weblogs: A study of genre and individual differences. Ph.D. thesis, University of Edinburgh.
[14]
Bo Pang and Lillian Lee. 2005. Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. In Proceedings of the 43rd Annual Meeting of the ACL, pages 115--124.
[15]
Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 2002. Thumbs up? Sentiment classification using machine learning techniques. In Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 79--86.
[16]
James W. Pennebaker and Laura King. 1999. Linguistic styles: Language use as an individual difference. Journal of Personality and Social Psychology, 77:1296--1312.
[17]
James W. Pennebaker, Martha E. Francis, and Roger J. Booth. 2001. Linguistic Inquiry and Word Count 2001. Lawrence Erlbaum Associates, Mahwah, NJ.
[18]
Rosalind W. Picard. 1997. Affective Computing. MIT Press, Cambridge, Ma.
[19]
J. Ross Quinlan. 1993. C4.5: programs for machine learning. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA.
[20]
Paul Rayson. 2003. Wmatrix: A statistical method and software tool for linguistic analysis through corpus comparison. Ph.D. thesis, Lancaster University.
[21]
Ehud Reiter and Somayajulu Sripada. 2004. Contextual influences on near-synonym choice. In Proceedings of the Third International Conference on Natural Language Generation.
[22]
Klaus Scherer. 1979. Personality markers in speech. In K. R. Scherer and H. Giles, editors, Social Markers in Speech, pages 147--209. Cambridge University Press, Cambridge.
[23]
James G. Shanahan, Yan Qu, and Janyce Weibe, editors. 2005. Computing Attitude and Affect in Text. Springer, Dordrecht, Netherlands.
[24]
Peter D. Turney. 2002. Thumbs up or thumbs down? semantic orientation applied to unspervised classification of reviews. In Proceedings of the 40th Annual Meeting of the ACL, pages 417--424.
[25]
Simine Vazire and Sam D. Gosling. 2004. eperceptions: Personality impressions based on personal websites. Journal of Personality and Social Psychology, 87:123--132.
[26]
Ian H. Witten and Eibe Frank. 1999. Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann.

Cited By

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  • (2020)Mining Personality Traits from Social Text MessagesProceedings of the 7th Multidisciplinary in International Social Networks Conference and The 3rd International Conference on Economics, Management and Technology10.1145/3429395.3429412(1-5)Online publication date: 31-Oct-2020
  • (2019)Personality Traits for Egyptian Twitter Users DatasetProceedings of the 8th International Conference on Software and Information Engineering10.1145/3328833.3328851(206-211)Online publication date: 9-Apr-2019
  • (2019)A methodology for creating and validating psychological stories for conveying and measuring psychological traitsUser Modeling and User-Adapted Interaction10.1007/s11257-019-09219-629:3(573-618)Online publication date: 1-Jul-2019
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cover image DL Hosted proceedings
COLING-ACL '06: Proceedings of the COLING/ACL on Main conference poster sessions
July 2006
992 pages

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Association for Computational Linguistics

United States

Publication History

Published: 17 July 2006

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COLING-ACL '06 Paper Acceptance Rate 126 of 126 submissions, 100%;
Overall Acceptance Rate 1,537 of 1,537 submissions, 100%

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View all
  • (2020)Mining Personality Traits from Social Text MessagesProceedings of the 7th Multidisciplinary in International Social Networks Conference and The 3rd International Conference on Economics, Management and Technology10.1145/3429395.3429412(1-5)Online publication date: 31-Oct-2020
  • (2019)Personality Traits for Egyptian Twitter Users DatasetProceedings of the 8th International Conference on Software and Information Engineering10.1145/3328833.3328851(206-211)Online publication date: 9-Apr-2019
  • (2019)A methodology for creating and validating psychological stories for conveying and measuring psychological traitsUser Modeling and User-Adapted Interaction10.1007/s11257-019-09219-629:3(573-618)Online publication date: 1-Jul-2019
  • (2018)Predicting user gender on social media sites using geographical informationProceedings of the 10th International Conference on Management of Digital EcoSystems10.1145/3281375.3281383(219-226)Online publication date: 25-Sep-2018
  • (2018)A General Personality Prediction Framework Based on Facebook ProfilesProceedings of the 2018 10th International Conference on Machine Learning and Computing10.1145/3195106.3195124(269-275)Online publication date: 26-Feb-2018
  • (2018)Emerging Trends in Personality Identification Using Online Social Networks—A Literature SurveyACM Transactions on Knowledge Discovery from Data10.1145/307064512:2(1-30)Online publication date: 23-Jan-2018
  • (2018)Deep learning-based personality recognition from text posts of online social networksApplied Intelligence10.1007/s10489-018-1212-448:11(4232-4246)Online publication date: 1-Nov-2018
  • (2017)Identifying Audience AttributesProceedings of the 2017 International Conference on Cloud and Big Data Computing10.1145/3141128.3141129(79-88)Online publication date: 17-Sep-2017
  • (2016)Personality classification and behaviour interpretation: an approach based on feature categoriesProceedings of the 18th ACM International Conference on Multimodal Interaction10.1145/2993148.2993201(225-232)Online publication date: 31-Oct-2016
  • (2016)Short Messages Spam Filtering Using Personality RecognitionProceedings of the 4th Spanish Conference on Information Retrieval10.1145/2934732.2934742(1-7)Online publication date: 14-Jun-2016
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