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MIKE: An Interactive Microblogging Keyword Extractor using Contextual Semantic Smoothing
2012
International Conference on Computational Linguistics
Social media, such as tweets on Twitter and Short Message Service (SMS) messages on cellular networks, are short-length textual documents (short texts or microblog posts) exchanged among users on the Web and/or their mobile devices. Automatic keyword extraction from short texts can be applied in online applications such as tag recommendation and contextual advertising. In this paper we present MIKE, a robust interactive system for keyword extraction from single microblog posts, which uses
dblp:conf/coling/KhanK12
fatcat:eyckgfzmbjfspdst7ceozmlx7e