One Sense per Tweeter ... and Other Lexical Semantic Tales of Twitter
Spandana Gella, Paul F. Cook, Timothy J. Baldwin · 2014
In recent years, microblogs such as Twitter have emerged as a new communication channel.Twitter in particular has become the target of a myriad of content-based applications including trend analysis and event detection, but there has been little fundamental work on the analysis of word usage patterns in this text type.In this paper -inspired by the one-sense-perdiscourse heuristic of Gale et al. ( 1992) -we investigate user-level sense distributions, and detect strong support for "one sense per tweeter".As part of this, we construct a novel sense-tagged lexical sample dataset based on Twitter and a web corpus.