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

We address the problem of part-of-speech tagging for English data from the popular microblogging 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 social media data sets.

• Type: Journal
• Year: 2011
• Where: ACL
• Authors: Kevin Gimpel, Nathan Schneider, Brendan O'Connor, Dipanjan Das, Daniel Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, Noah A. Smith
• Keywords: ACL 2011, Annotate, Computational Linguistics, Part Of Speech, Twitter