research product . Other ORP type . 2017

Supporting experts to handle tweet collections about significant events

Hürriyetoglu, Ali; Oostdijk, Nelleke; Basar, Erkan; van den Bosch, A.; Frasincar, F.; Ittoo, A.; Nguyen, L.; Metais, E.;
Closed Access English
  • Published: 01 Jan 2017
  • Publisher: Springer
We introduce Relevancer that processes a tweet set and enables generating an automatic classifier from it. Relevancer satisfies information needs of experts during significant events. Enabling experts to combine automatic procedures with expertise is the main contribution of our approach and the added value of the tool. Even a small amount of feedback enables the tool to distinguish between relevant and irrelevant information effectively. Thus, Relevancer facilitates the quick understanding of and proper reaction to events presented on Twitter.
free text keywords: Twitter, natural language processing
  • Digital Humanities and Cultural Heritage
  • Social Science and Humanities
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Other ORP type . 2017
Provider: NARCIS
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