Date of Original Version

6-2011

Type

Conference Proceeding

Journal Title

Proceedings of the Annual Meeting of the Association for Computational Linguistics

First Page

42

Last Page

47

Rights Management

Copyright 2011 ACL

Abstract or Description

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.

Creative Commons License

Creative Commons Attribution-Noncommercial-Share Alike 3.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

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Published In

Proceedings of the Annual Meeting of the Association for Computational Linguistics, 42-47.