Transcription of Sentiment Analysis of Twitter Data
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Sentiment Analysis of Twitter Data
Sentiment Analysis of Twitter DataApoorv Agarwal Boyi Xie Ilia Vovsha Owen Rambow Rebecca PassonneauDepartment of Computer ScienceColumbia UniversityNew York, NY 10027 USA{apoorv@cs, xie@cs, iv2121@, rambow@ccls, examine Sentiment Analysis on Twitterdata. The contributions of this paper are: (1)We introduce POS-specific prior polarity fea-tures. (2) We explore the use of a tree kernel toobviate the need for tedious feature engineer-ing. The new features (in conjunction withpreviously proposed features) and the tree ker-nel perform approximately at the same level,both outperforming the state-of-the-art IntroductionMicroblogging websites have evolved to become asource of varied kind of information.}
even though it does not require detailed feature en-gineering. We use manually annotated Twitter data for our. experiments. One advantage of this data, over pre-viously used data-sets, is that the tweets are col-lected in a streaming fashion and therefore represent
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