We set out to develop a POS inventory for Twitter that would be intuitive and informative-while at the same time simple to learn and apply-so as to maximize tagging consistency within and across an-notators.
our contributions are as follows: • we developed a PoS tagset for Twitter, • we manually tagged 1,827 tweets, • we developed features for Twitter PoS tagging and conducted experiments to evaluate them, and • we provide our annotated corpus and trained PoS tagger to the research community.