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

DOI	Resolve DOI: https://doi.org/10.3115/v1/S14-2076
Author	Search for: Kiritchenko, Svetlana¹; Search for: Zhu, Xiaodan¹; Search for: Cherry, Colin¹; Search for: Mohammad, Saif¹
Name affiliation	National Research Council of Canada. Information and Communication Technologies
Format	Text, Article
Conference	8th 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	2014
Publisher	Association for Computational Linguistics
In	Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014): 437–442.
Language	English
Peer reviewed	Yes
NPARC number	23001915
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Record identifier	3ae5fef5-d8a6-4ab2-a738-dcaab78a1a93
Record created	2017-05-24
Record modified	2020-04-22