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.