Analyzing Microtext: Related Work

This is a partial list of work related to the AAAI-11 Workshop on Analyzing Microtext. We welcome your additions and corrections at any time.
  1. Adams, P.H., & Martell, C.H. (2008). Topic detection and extraction in chat. Proceedings of the IEEE International Conference on Semantic Computing (pp. 581-588). Santa Clara, CA: IEEE Press.

  2. Anjewierden, A., Kollöffel, B., & Hulshof, C. (2007). Towards educational data mining: Using data mining methods for automated chat analysis to understand and support inquiry learning processes Proceedings of the International Workshop on Applying Data Mining in e-Learning (pp. 23-32). Crete, Greece.

  3. Bengel, J., Gauch, S., Mittur, E., & Vijayaraghavan, R. (2004). ChatTrack: Chat room topic detection using classification. Intelligence and Security Informatics, 3073, 266-277.

  4. Budlong, E.R., Walter, S.M., & Yilmazel, O. (2009). Recognizing connotative meaning in military chat communications. In Evolutionary and bio-inspired computation: Theory and applications III. Orlando, FL: SPIE.

  5. Catanzaro, J.M., Risser, M.R., Gwynne, J.W., & Manes, D.I. (2006). Military situation awareness: Facilitating critical even detection in chat. Proceedings of the Human Factors and Ergonomics Society 50th Annual Meeting (pp. 560-564). San Francisco, CA: Human Factors and Ergonomics Society.

  6. Dela Rosa, K., & Ellen, J. (2009). Text classification methodologies applied to micro-text in military chat. Proceedings of the International Conference on Machine Learning and Applications (pp. 710-714). Miami, FL: IEEE Press.

  7. Dong, H., Hui, S.C., & He, Y. (2006). Structural analysis of chat messages for topic detection. Online Information Review, 30(5), 496-516.

  8. Elnahrawy, E.M. (2002). Log-based chat room monitoring using text categorization: A comparative study. Proceedings of the International Association of Science and Technology for Development Conference on Information and Knowledge Sharing. St. Thomas, US Virgin Islands: ACTA Press.

  9. Ellen, J. (2011). All about microtext: A working definition and a survey of current microtext research within artificial intelligence and natural language processing. To appear in Proceedings of the Third International Conference on Agents and Artificial Intelligence. Rome, Italy: Springer.

  10. Forsyth, E.N., & Martell, C.H. (2007). Lexical and discourse analysis of online chat dialog. Proceedings of the International Conference on Semantic Computing (pp. 19-26). Irvine, CA: IEEE Press.

  11. Fugate, S., Medina, E.W., Duffy, L., Magsombol, D., Amezcua, O., Rogers, G., & Ceruti, M.G. (2007). Next-generation tactical-situation-assessment technology (TSAT): Iconic language. Proceedings of the First Annual Visual and Iconic Language Conference. Albuquerque, NM.

  12. Gruhl, D., Nagarajan, M., Pieper, J., Robson, C., & Sheth, A. (2009). Context and domain knowledge enhanced entity spotting in informal text. Proceedings of the Eighth international Semantic Web Conference 260-276. Washington, DC: Springer.

  13. Khan, F.M., Fisher, T.A., Shuler, L., Wu, T., & Pottenger, W.M. (2002). Mining chat-room conversations for social and semantic interactions (Technical Report LU-CSE-02-001). Bethlehem, PA: Lehigh University.

  14. Kinsella, S., Passant, A., & Breslin, J. (2010). Ten years of hyperlinks in online conversations. Proceedings of the Web Science Conference. Raleigh, NC: ACM Press.

  15. Kolenda, T., Hansen, L.K., & Larsen, J. (2001). Signal detection using ICA: Application to chat room topic spotting. Proceedings of the Third International Conference on Independent Component Analysis and Blind Source Separation (pp. 540-545). San Diego, CA.

  16. Köse, C., Özyurt, Ö., & Ikibas, C. (2008). A comparison of textual data mining methods for sex identification in chat conversations. Proceedings of the Fourth Asia Information Retrieval Conference on Information Retrieval Technology (pp. 638-643). Harbin, China: Springer.

  17. Kucukyilmaz, T., Cambazoglu, B.B., Aykanat, C., & Can, F. (2008). Chat mining: Predicting user and message attributes in computer-mediated communication. Information Processing and Management, 44, 1448-1466.

  18. Liu, F., Liu, Y., & Weng, F. (2011). Why is 'SXSW' trending? Exploring multiple text sources for Twitter topic summarization. In Proceedings of the ACL Workshop on Language and Social Media.

  19. Liu, F., Weng, F., Wang, B., & Liu, Y. (2011). Insertion, deletion, or substitution? Normalizing text messages without pre-categorization nor supervision. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies.

  20. Medina, E.W. (2008). Military textual analysis and chat research. Proceedings of the IEEE International Conference on Semantic Computing (pp. 569-572). Santa Clara, CA: IEEE Press.

  21. Medina, E.W., Fugate, S., Duffy, L., Magsombol, D., Amezcua, O., Rogers, G., & Ceruti, M.G. (2007). Next-generation tactical-situation-assessment technology (TSAT): Chat. Proceedings of the Seventh International Conference on Web Engineering (pp. 526-532). Como, Italy: Springer-Verlag.

  22. O'Connor, B., Krieger, M., & Ahn, D. (2010). TweetMotif: Exploratory search and topic summarization for Twitter. Proceedings of the International AAAI Conference on Weblogs and Social Media. Washington, DC: AAAI Press.

  23. Özyurt, Ö., & Köse, C. (2010). Chat mining: Automatically determination of chat conversations' topic in Turkish text based chat mediums. Expert Systems with Applications, 37, 8705-7810.

  24. Phan, X.-H., Nguyen, L.-M., & Horiguchi, S. (2008). Learning to classify short and sparse text & web with hidden topics from large-scale data collections. Proceeding of the Seventeenth international conference on World Wide Web (pp. 91-100). New York, NY: ACM Press.

  25. Ramachandran, S., Jensen, R., Bascara, O., Carpenter, T., Denning, T., & Sucillon, S. (2009). After action review tools for team training with chat communications. Proceedings of the Interservice/Industry Training, Simulation, and Education Conference. Orlando, FL: I/ITSEC.

  26. Ramachandran, S., Jensen, R., Bascara, O., Carpenter, T., Denning, T., & Sucillon, S. (2010). Automated chat thread analysis: untangling the web. Proceedings of the Interservice/Industry Training, Simulation, and Education Conference. Orlando, FL: I/ITSEC.

  27. Ranganath, R., Jurafsky, D., & McFarland, D. (2009). It's not you, it's me: detecting flirting and its misperception in speed-dates. Proceedings of the Conference on Empirical Methods in Natural Language Processing (Volume 1). Singapore: ACL.

  28. Ritter, A., Cherry, C., & Dolan, B. (2010). Unsupervised modeling of Twitter conversations. Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (pp. 172-180). Los Angeles, CA: ACL.

  29. Shankaran, G. (2004). Detection and extraction of discussion threads in a chat session. Unpublished Master's thesis, Information and Telecommunication Technology Center, University of Kansas, Lawrence, KS.

  30. Sharifi, B., et al. (2010). Summarizing Microblogs Automatically. Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (pp. 685-688). Los Angeles, CA: ACL.

  31. Shen, D., Yang, Q., Sun, J.-T., & Chen, Z. (2006). Thread detection in dynamic text message streams. Proceedings of the Twenty-Ninth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 35-42). Seattle, WA: ACM Press.

  32. Tuulos, V.H., & Tirri, H. (2004). Combining topic models and social networks for chat data mining. Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (pp. 206-213). Beijing, China: IEEE Press.

  33. Van Dyke, N.W., Lieberman, H., & Maes, P. (1998). Butterfly: A conversation-finding agent for internet relay chat. Proceedings of the Fourth International Conference on Intelligent User Interfaces (pp. 39-41). Los Angeles, CA: ACM Press.

  34. Wang, L., Jia, Y., & Chen, Y. (2008). Conversation extraction in dynamic text message stream. Journal of Computers, 3(10), 86-93.

  35. Wang. L., & Oard, D.W. (2009). Context-based message expansion for disentanglement of interleaved text conversations. Proceedings of Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics (pp. 200-208). Boulder, CO: ACL.

  36. Zhou, L., & Hovy, E. (2005). Digesting virtual "geek" culture: The summarization of technical internet relay chats. Proceedings of the Forty-Third Annual Meeting on Association for Computational Linguistics (pp. 298-305). Ann Arbor, MI: Association for Computational Linguistics.