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Automated detection and guessing without semantics of sender-receiver relations in computer-mediated discourses

Published:28 November 2016Publication History

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.

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  1. Automated detection and guessing without semantics of sender-receiver relations in computer-mediated discourses

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    • Published in

      cover image ACM Other conferences
      iiWAS '16: Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services
      November 2016
      528 pages
      ISBN:9781450348072
      DOI:10.1145/3011141

      Copyright © 2016 ACM

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      Publication History

      • Published: 28 November 2016

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