Paper: One Sense per Tweeter ... and Other Lexical Semantic Tales of Twitter

ACL ID E14-4042
Title One Sense per Tweeter ... and Other Lexical Semantic Tales of Twitter
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

In recent years, microblogs such as Twit- ter 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-per- discourse heuristic of Gale et al. (1992) ? we investigate user-level sense distri- butions, and detect strong support for ?one sense per tweeter?. As part of this, we con- struct a novel sense-tagged lexical sample dataset based on Twitter and a web corpus.