Supporting experts to handle tweet collections about significant events

Ali Hürriyetoglu, Nelleke Oostdijk, Erkan Basar, A. van den Bosch

Onderzoeksoutput: Hoofdstuk in boek/boekdeelBijdrage aan conferentie proceedingsWetenschappelijkpeer review

Samenvatting

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.
Originele taal-2Engels
TitelNatural Language Processing and Information Systems (NLDB 2017)
RedacteurenF. Frasincar, A. Ittoo, L. Nguyen, E. Metais
UitgeverijSpringer
Pagina's138-141
ISBN van elektronische versie9783319595696
ISBN van geprinte versie9783319595689
DOI's
StatusGepubliceerd - 2017

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