Online conversation mining for author characterization and topic identification

Authors:
Giacomo Inches;Fabio Crestani
Affiliations:
University of Lugano, Lugano, Switzerland;University of Lugano, Lugano, Switzerland
Venue:
Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management
Year:
2011

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Abstract

The increasing popularity of online-based services (Twitter, Facebook, IRC, Myspace, blogs, just to mention few of them) results in a production of a huge amount of novel documents. These documents present properties that can not be found in standard edited documents. In particular the messages generated during the use of Instant Messages Services (IM) like chat-rooms or Twitter are short, user-generated and "noisy". We are investigating two different but related aspect of the content of these colloquial messages: the topic identification and the author identification tasks. In the first case we would like to answer the question what is the conversation about? while in the second case the question is who are the people involved in the conversation?. The combination of these two tasks into a unique model is a novel and interesting research problem that is the main topic of our research.