INSIGHT Galway: Syntactic and Lexical Features for Aspect Based Sentiment Analysis
نویسندگان
چکیده
This work analyses various syntactic and lexical features for sentence level aspect based sentiment analysis. The task focuses on detection of a writer’s sentiment towards an aspect which is explicitly mentioned in a sentence. The target sentiment polarities are positive, negative, conflict and neutral. We use a supervised learning approach, evaluate various features and report accuracies which are much higher than the provided baselines. Best features include unigrams, clauses, dependency relations and SentiWordNet polarity scores.
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