SemEval-2010 task 18: disambiguating sentiment ambiguous adjectives

Authors:
Yunfang Wu;Peng Jin
Affiliations:
Key Laboratory of Computational Linguistics (Peking University), Ministry of Education, Beijing, China;Laboratory of Intelligent Information Processing and Application, Leshan Normal University, Leshan, China
Venue:
Language Resources and Evaluation
Year:
2013

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Abstract

Sentiment ambiguous adjectives, which have been neglected by most previous researches, pose a challenging task in sentiment analysis. We present an evaluation task at SemEval-2010, designed to provide a framework for comparing different approaches on this problem. The task focuses on 14 Chinese sentiment ambiguous adjectives, and provides manually labeled test data. There are 8 teams submitting 16 systems in this task. In this paper, we define the task, describe the data creation, list the participating systems, and discuss different approaches.