| DOI | Resolve DOI: https://doi.org/10.1007/978-3-319-18117-2_17 |
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| Author | Search for: Carter, Dave1; Search for: Inkpen, Diana |
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| Name affiliation | - National Research Council of Canada. Information and Communication Technologies
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| Format | Text, Book Chapter |
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| Conference | 16th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2015), April 14-20, 2015, Cairo, Egypt |
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| Subject | linguistics; text processing; co-training; co-training algorithm; product reviews; computational linguistics |
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| Abstract | Opinions expressed about a particular subject are often nuanced: a person may have both negative and positive opinions aboutdifferent aspects of the subject of interest, and these aspect-specific opinionscan be independent of the overall opinion. Being able to identify,collect, and count these nuanced opinions in a large set of data offersmore insight into the strengths and weaknesses of competing productsand services than does aggregating overall ratings. We contribute a newconfidence-based co-training algorithm that can identify product aspectsand sentiments expressed about such aspects. Our algorithm offers betterprecision than existing methods, and handles previously unseen languagewell. We show competitive results on a set of opinionated sentences aboutlaptops and restaurants from a SemEval-2014 Task 4 challenge. |
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| Publication date | 2015 |
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| Publisher | Springer International Publishing |
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| Series | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 21276947 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 10f88688-ed84-4c7f-a02a-1fdc72d0fa02 |
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| Record created | 2015-11-10 |
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| Record modified | 2020-06-11 |
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