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Part-of-speech tagging for Twitter: annotation, features, and experiments

, , , , , , , , , and . Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2, page 42--47. Stroudsburg, PA, USA, Association for Computational Linguistics, (2011)

Abstract

We address the problem of part-of-speech tagging 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 social media data sets.

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Part-of-speech tagging for Twitter

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