Religious politicians and creative photographers: Automatic user categorization in Twitter

Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013

Volumn , Issue , 2013, Pages 303-310

  Wagner, Claudia ^a   Asur, Sitaram ^b   Hailpern, Joshua ^b  

^a JOANNEUM RESEARCH   (Austria)

^b HEWLETT PACKARD LABORATORIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY PATTERNS; IN-FIELD; INTERACTION NETWORKS; OVERALL ACCURACIES; SOCIAL MEDIA SYSTEMS; TWO-DIMENSION;

MARKETING;

SOCIAL NETWORKING (ONLINE);

EID: 84893607006     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SocialCom.2013.49     Document Type: Conference Paper

References (22)

1. R. Holt. (2013) Half a billion people sign up for twitter. [Online]. Available: http://www.telegraph.co.uk/technology/9837525/Half-a-billion-people- sign-up-for-Twitter.html
2. D. Rao, D. Yarowsky, A. Shreevats, and M. Gupta, "Classifying latent user attributes in twitter," in Proceedings of the 2nd international workshop on Search and mining user-generated contents, ser. SMUC '10. New York, NY, USA: ACM, 2010, pp. 37-44. [Online]. Available: http://doi.acm.org/10.1145/ 1871985.1871993
3. M. Pennacchiotti and A.-M. Popescu, "Democrats, republicans and starbucks afficionados: user classification in twitter," in Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, ser. KDD '11. New York, NY, USA: ACM, 2011, pp. 430-438. [Online]. Available: http://doi.acm.org/10.1145/2020408.2020477
4. L. Hong and B. D. Davison, "Empirical study of topic modeling in twitter," in Proceedings of the IGKDD Workshop on Social Media Analytics (SOMA), 2010.
5. J. Bryden, S. Funk, and V. A. A. Jansen, "Word usage mirrors community structure in the online social network twitter," EPJ Data Science, vol. 2, no. 1, pp. 3+, 2013. [Online]. Available: http://dx.doi.org/10. 1140/epjds15
6. J. Golbeck, C. Robles, M. Edmondson, and K. Turner, "Predicting personality from twitter," in SocialCom. IEEE, 2011, pp. 149-156. [Online]. Available: http://dblp.uni-trier.de/db/conf/socialcom/socialcom2011. html#GolbeckRET11
7. D. Quercia, M. Kosinski, D. Stillwell, and J. Crowcroft, "Our twitter profiles, our selves: predicting personality with twitter," in SocialCom, 2011.
8. D. J. Hughes, M. Rowe, M. Batey, and A. Lee, "A tale of two sites: Twitter vs. facebook and the personality predictors of social media usage," Comput. Hum. Behav., vol. 28, no. 2, pp. 561-569, Mar. 2012. [Online]. Available: http://dx.doi.org/10.1016/j.chb.2011.11.001
9. J. M. Kleinberg, "Authoritative sources in a hyperlinked environment." in SODA, H. J. Karloff, Ed. ACM/SIAM, 1998, pp. 668-677.[Online]. Available: http://dblp.uni-trier.de/db/conf/soda/soda98. html#Kleinberg98
10. A. Stirling, "A general framework for analysing diversity in science, technology and society." Journal of the Royal Society, vol. 4, no. 15, pp. 707-19, Aug 2007. [Online]. Available: http://rsif. royalsocietypublishing.org/cgi/content/abstract/4/15/707
11. D. M. Blei, A. Ng, and M. Jordan, "Latent dirichlet allocation," JMLR, vol. 3, pp. 993-1022, 2003.
12. H. M. Wallach, "Structured topic models for language," Ph.D. dissertation, University of Cambridge, 2008.
13. H. Saif, Y. He, and H. Alani, "Semantic sentiment analysis of twitter." Boston, UA: Springer, 2012, pp. 508-524. [Online]. Available:http://ceur-ws.org/Vol-838/paper 01.pdf
14. E. Gilbert and K. Karahalios, "Predicting tie strength with social media," in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ser. CHI '09. New York, NY, USA: ACM, 2009, pp. 211-220. [Online]. Available: http://doi.acm.org/10.1145/1518701.1518736
15. Y. R. Tausczik and J. W. Pennebaker, "The psychological meaning of words: Liwc and computerized text analysis methods," 2010. [Online]. Available: http://homepage.psy.utexas.edu/homepage/students/Tausczik/Yla/index. html
16. K. Gimpel, N. Schneider, B. O?Connor, D. Das, D. Mills, J. Eisenstein, M. Heilman, D. Yogatama, J. Flanigan, and N. A. Smith, "Partof-speech tagging for twitter: annotation, features, and experiments," in Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2, ser. HLT '11. Stroudsburg, PA, USA: Association for Computational Linguistics, 2011, pp. 42-47. [Online]. Available: http://dl.acm.org/citation.cfm?id=2002736.2002747
17. T. G. Dietterich and D. Fisher, "An experimental comparison of three methods for constructing ensembles of decision trees," in Bagging, boosting, and randomization. Machine Learning, 2000, pp. 139-157.
18. B. B. Z. Pengyi Yang, Yee Hwa Yang and A. Y. Zomaya, "A review of ensemble methods in bioinformatics," Current Bioinformatics, vol. 5, pp. 296-308, 2010.
19. L. Breiman, "Random forests," in Machine Learning, 2001, pp. 5-32.
20. M. A. Hall, "Correlation-based feature selection for machine learning," Tech. Rep., 1998.
21. M. Kosinski, D. Stillwell, and T. Graepel, "Private traits and attributes are predictable from digital records of human behavior," 2013. [Online]. Available: http://www.pnas.org/cgi/doi/10.1073/pnas.1218772110
22. C. Wagner, V. Liao, P. Pirolli, L. Nelson, and M. Strohmaier, "It?s not in their tweets: Modeling topical expertise of twitter users," in Proceedings ASE/IEEE International Conference on Social Computing (SocialCom2012), 2012.