Paper: Part-of-Speech Tagging for Twitter: Annotation Features and Experiments

ACL ID P11-2008
Title Part-of-Speech Tagging for Twitter: Annotation Features and Experiments
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

We address the problem of part-of-speech tag- ging for English data from the popular micro- blogging service Twitter. We develop a tagset, annotate data, develop features, and report tagging results nearing 90% accuracy. The data and tools have been made available to the research community with the goal of enabling richer text analysis of Twitter and related so- cial media data sets.