ABSTRACT
Automated tools for discourse analysis process tremendous amounts of computer-mediated discourses in a fast way. Assigning receivers to each message is an important step to answer the question "Who is communicating with whom" at any time. Direct addressing helps but is not used in every message. The focus of this paper is mainly split into two parts. First, automated detection and mapping of written receivers (or parts of them) to logged-in users. Second, if no receiver is written, automated receiver guessing without semantics. The architecture of the automated software is described in detail. As an applied example, the well-known and text-based chat system Internet Relay Chat (IRC) is used. An IRC discourse with 5605 messages is manually and automatically analyzed for comparing both approaches. Both - detection and guessing - are similarly well done as by hand.
- R. Ecker. "Creation of Internet Relay Chat Nicknames and Their Usage in English Chatroom Discourse". In: Linguistik online 50.6 (2011), pp. 3--29.Google Scholar
- R. Ecker. "Multiple-Views Analysis of Computer-Mediated Discourses". In: Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services. iiWAS '15. New York, NY, USA: ACM, 2015, pp. 1--10. Google ScholarDigital Library
- T. Fawcett. "An Introduction to ROC Analysis". In: Pattern Recognition Letters 27.8 (2006), pp. 861--874. Google ScholarDigital Library
- S. C. Herring. "Computer-Mediated Communication on the Internet". In: Annual Review of Information Science and Technology 36.1 (2002), pp. 109--168.Google ScholarCross Ref
- M. Millard. "Analysis of Interaction in an Asynchronous CMC Environment". In: WebSci10: Extending the Frontiers of Society On-Line. 2010.Google Scholar
- P. Mutton. "Inferring and Visualizing Social Networks on Internet Relay Chat". In: Proceedings of the Information Visualisation, Eighth International Conference (IV '04). Washington, DC, USA: IEEE Computer Society, 2004, pp. 35--43. Google ScholarDigital Library
- T. Neuage. "Conversational analysis of chatroom talk". PhD thesis. University of South Australia, 2005.Google Scholar
- D. M. W. Powers. "Evaluation: From Precision, Recall and F-Measure to ROC, Informedness, Markedness & Correlation". In: Journal of Machine Learning Technologies 2.1 (2011), pp. 37--63.Google ScholarCross Ref
- E. A. Schegloff and H. Sacks. "Opening Up Closings". In: Semiotica 8 (1973), pp. 289--327.Google ScholarCross Ref
- M. Smith, J. J. Cadiz, and B. Burkhalter. "Conversation Trees and Threaded Chats". In: Proceedings of the ACM conference on Computer Supported Cooperative Work (CSCW '00). New York, NY, USA: ACM, 2000, pp. 97--105. Google ScholarDigital Library
- J. Todnem. The Password Meter. http://www.pass-wordmeter.com/, accessed July 21, 2016. 2016.Google Scholar
- R. A. Wagner and M. J. Fischer. "The String-to-String Correction Problem". In: Journal of the Association for Computer Machinery 21.1 (1974), pp. 168--173. Google ScholarDigital Library
Index Terms
- Automated detection and guessing without semantics of sender-receiver relations in computer-mediated discourses
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