Supporting Experts to Handle Tweet Collections About Significant Events
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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.
KeywordsSocial media Text mining Machine learning Twitter
COMMIT, Statistics Netherlands, and Floodtags supported our work.
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