NRC-Canada-2014: detecting aspects and sentiment in customer reviews

DOIResolve DOI: http://doi.org/10.3115/v1/S14-2076
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TypeArticle
Proceedings titleProceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)
Conference8th International Workshop on Semantic Evaluation (SemEval 2014), August 23-24 2014, Dublin, Ireland
Pages437442
AbstractReviews depict sentiments of customers towards various aspects of a product or service. Some of these aspects can be grouped into coarser aspect categories. SemEval-2014 had a shared task (Task 4) on aspect-level sentiment analysis, with over 30 teams participated. In this pa- per, we describe our submissions, which stood first in detecting aspect categories, first in detecting sentiment towards aspect categories, third in detecting aspect terms, and first and second in detecting sentiment towards aspect terms in the laptop and restaurant domains, respectively.
Publication date
PublisherAssociation for Computational Linguistics
LanguageEnglish
AffiliationInformation and Communication Technologies; National Research Council Canada
Peer reviewedYes
NPARC number23001915
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Record identifier3ae5fef5-d8a6-4ab2-a738-dcaab78a1a93
Record created2017-05-24
Record modified2017-05-24
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