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 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.
ACL