| DOI | Trouver le DOI : https://doi.org/10.1007/978-3-319-18117-2_17 |
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| Auteur | Rechercher : Carter, Dave1; Rechercher : Inkpen, Diana |
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| Affiliation | - Conseil national de recherches du Canada. Technologies de l'information et des communications
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| Format | Texte, Chapitre de livre |
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| Conférence | 16th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2015), April 14-20, 2015, Cairo, Egypt |
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| Sujet | linguistics; text processing; co-training; co-training algorithm; product reviews; computational linguistics |
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| Résumé | 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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| Date de publication | 2015 |
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| Maison d’édition | Springer International Publishing |
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| Dans | |
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| Série | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Numéro NPARC | 21276947 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 10f88688-ed84-4c7f-a02a-1fdc72d0fa02 |
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| Enregistrement créé | 2015-11-10 |
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| Enregistrement modifié | 2020-06-11 |
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