Supporting experts to handle tweet collections about significant events

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

Research output: Chapter in book/volumeContribution to conference proceedingsScientificpeer-review

3 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationNatural Language Processing and Information Systems (NLDB 2017)
EditorsF. Frasincar, A. Ittoo, L. Nguyen, E. Metais
ISBN (Electronic)9783319595696
ISBN (Print)9783319595689
Publication statusPublished - 2017


  • Twitter
  • natural language processing


Dive into the research topics of 'Supporting experts to handle tweet collections about significant events'. Together they form a unique fingerprint.

Cite this