articleJan 1, 2014GOLD OA

NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews

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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 senti-ment towards aspect terms in the laptop and restaurant domains, respectively. 1

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708
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Authors

4

Topics & keywords

Keywords
  • Sentiment analysis
  • Computer science
  • Data science
  • Information retrieval
  • Natural language processing
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