SentiSys at SemEval-2016 Task 5: Opinion Target Extraction and Sentiment Polarity Detection
نویسنده
چکیده
This paper describes our contribution in Opinion Target Extraction and Sentiment Polarity sub-tasks of SemEval 2016 ABSA task. A Conditional Random Field model has been adopted for opinion target extraction. A Logistic Regression model with a weighting schema of positive and negative labels has been used for sentiment polarity. Our submission for opinion target extraction is ranked second among the constrained systems which do not use additional resources and sixth over 19 submissions among the constrained and unconstrained systems in English restaurant reviews. Our submission for Sentiment Polarity is ranked eighth over 22 submissions on the laptop reviews.
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