Communications of the Korean Institute of Information Scientists and Engineers (정보과학회지)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
권호 표지

트위터 사용자의 성별, 나이, 위치 추론

  • Published : 2014.07.15
Download PDF
⟨ Previous Next ⟩

Abstract

Keywords

References

  1. Backstrom, L., Kleinberg, J., Kumar, R., & Novak, J. (2008),. "Spatial variation in search engine queries". In Proceedings of the 17th international conference on World Wide Web, pp. 357-366.
  2. Backstrom, L., Sun, E., & Marlow, C. (2010). "Find me if you can: improving geographical prediction with social and spatial proximity". InProceedings of the 19th international conference on World wide web, pp. 61-70.
  3. Cheng, Z., Caverlee, J., & Lee, K. (2010). "You are where you tweet: a content-based approach to geolocating twitter users". In Proceedings of the 19th ACM international conference on Information and knowledge management, pp. 759-768.
  4. Ding, J., Gravano, L., & Shivakumar, N. (2000). "Computing geographical scopes of web resources". 23 pages.
  5. Frank, M. R., Mitchell, L., Dodds, P. S., & Danfotih, C. M. (2013). "Happiness and the patterns of life: a study ofgeolocated tweets". Scientific repotis, 3.
  6. S. Goo Lee. (2010). "KKMA : A Tool for Utilizing Sejong Corpus Based on Relational Database". Journal of KIISE : Computing Practices and Letters, 16(11), pp. 1046-1050.
  7. B. Hecht, L. Hong, B. Suh, and E. H. Chi. (2011). "Tweets from Justin Bieber's Heart: The Dynamics of the Location Field in User Profiles". In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 237-246.
  8. D. Jurgens. (2013). "That's What Friends Are for: Inferring Location in Online Social Media platforms Based on Social Relationships". In Seventh International AAAI Conference on Weblogs and Social Media,
  9. K. Lee, J. Caverlee, and S. Webb. "Uncovering Social Spammers: Social Honeypots+ Machine Learning". (2010) In Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval, pages 435-442.
  10. A. K. F. Melanie A. Rapino. (2013). "Mega Commuters in the U.S." In Association for Public Policy Analysis and Management Conference,
  11. T. Pontes, M. Vasconcelos, J. Almeida, P. Kumaraguru, and V. Almeida. (2012) "We Know Where You Live: Privacy Characterization of Foursquare Behavior". In Proceedings of the 2012 ACM Conference on Ubiquitous Computing, pp. 898-905.
  12. A. Sadilek, H. Kautz, and J. P. Bigham. (2012) "Finding Your Friends and Following Them to Where You Are." In Proceedings of the Fifth ACM International Conference on Web Search and Data Mining, pp. 723-732.
  13. L. Wang, C. Wang, X. Xie, J. Forman, Y. Lu, W -Y. Ma, and Y. Li. (2005) "Detecting Dominant Locations from Search Queries." In Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 424-431.
  14. Rao, D., Yarowsky, D., Shreevats, A., & Gupta, M. (2010). "Classifying latent user attributes in twitter". In Proceedings of the 2nd international workshop on Search and mining user-generated contents, pp. 37-44.
  15. Burger, J. D., Henderson, J., Kim, G., & Zarrella, G. (2011). "Discriminating gender on Twitter". In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 1301-1309.
  16. Bamman, D., Eisenstein, J., & Schnoebelen, T. (2012). "Gender in Twitter: styles, stances, and social networks". arXiv preprint arXiv: 1210.4567.
  17. Fink, C., Kopecky, J., & Morawski, M. (2012). "Inferring Gender from the Content of Tweets: A Region Specific Example". In ICWSM.
  18. Al Zamal, F, Liu, W, & Ruths, D. (2012) .. "Homophily and Latent Attribute Inference: Inferring Latent Attributes of Twitter Users from Neighbors". In ICWSM.
  19. Liu, W, & Ruths, D. (2013). "What's in a name? Using first names as features for gender inference in Twitter". In Analyzing Microtext: 2013 AAAI Spring Symposium.
  20. Nguyen, D., Gravel, R., Triescimigg, D., & Meder, T. (2013). "How Old Do You Think I Am?: A Study of Language and Age in Twitter". In Proceedings of the Seventh International AAAI Conference on Weblogs and Social Media.
  21. Ryoo, KyoungMin, and Sue Moon. "Inferring Twitter user locations with 10 km accuracy." Proceedings of the companion publication of the 23rd international conference on World wide web companion. International World Wide Web Conferences Steering Committee, 2014.