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

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.3115/v1/S14-2076
AuthorSearch for: 1; Search for: 1; Search for: 1; Search for: 1
Affiliation
  1. National Research Council Canada. Information and Communication Technologies
FormatText, Article
Conference8th International Workshop on Semantic Evaluation (SemEval 2014), August 23-24 2014, Dublin, Ireland
Abstract
Reviews 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
In
  • Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014): 437–442.
LanguageEnglish
Peer reviewedYes
NPARC number23001915
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Record identifier3ae5fef5-d8a6-4ab2-a738-dcaab78a1a93
Record created2017-05-24
Record modified2020-04-22
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