作者: Rebecca Passonneau , Ilia Vovsha , Owen Rambow , Boyi Xie , Apoorv Agarwal
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摘要: We examine sentiment analysis on Twitter data. The contributions of this paper are: (1) introduce POS-specific prior polarity features. (2) explore the use a tree kernel to obviate need for tedious feature engineering. new features (in conjunction with previously proposed features) and perform approximately at same level, both outperforming state-of-the-art baseline.