SemEval-2015 Task 12: Aspect Based Sentiment Analysis
Institute for Language and Speech Processing · University of York · +1 more institution
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.
Citation impact
- FWCI
- 86.81
- Percentile
- 100%
- References
- 23
Authors
5- MPMaria PontikiCorresponding
Institute for Language and Speech Processing
- DGDimitrios Galanis
Institute for Language and Speech Processing
- HPHaris Papageorgiou
Institute for Language and Speech Processing
- SMSuresh Manandhar
University of York, Athens University of Economics and Business
- IAIon Androutsopoulos
Institute for Language and Speech Processing
Topics & keywords
- SemEval
- Computer science
- Task (project management)
- Sentiment analysis
- Natural language processing
- Artificial intelligence
- Engineering