SemEval-2015 Task 12: Aspect Based Sentiment Analysis
Published 1 January 2015Open access
Maria Pontiki, Dimitrios Galanis, Haris Papageorgiou, Suresh Manandhar, Ion Androutsopoulos
Citations1,152
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TL;DR
The task provided manually annotated reviews in three domains (restaurants, laptops and hotels), and a common evaluation procedure, to foster research beyond sentenceor text-level sentiment classification towards Aspect Based Sentiment Analysis.
Abstract
SemEval-2015 Task 12, a continuation of SemEval-2014 Task 4, aimed to foster research beyond sentence-or text-level sentiment classification towards Aspect Based Sentiment Analysis. The goal is to identify opinions expressed about specific entities (e.g., laptops) and their aspects (e.g., price). The task provided manually annotated reviews in three domains (restaurants, laptops and hotels), and a common evaluation procedure. It attracted 93 submissions from 16 teams.
Keywords
Computer Science
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