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.

Extracted Key Phrases

4 Figures and Tables

Citations per Year

627 Citations

Semantic Scholar estimates that this publication has 627 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@inproceedings{Gimpel2011PartofSpeechTF, title={Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments}, author={Kevin Gimpel and Nathan Schneider and Brendan T. O'Connor and Dipanjan Das and Daniel Mills and Jacob Eisenstein and Michael Heilman and Dani Yogatama and Jeffrey Flanigan and Noah A. Smith}, booktitle={ACL}, year={2011} }