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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Topics
Keywords
- Sentiment analysis
- Computer science
- Data science
- Information retrieval
- Natural language processing
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