Please use this identifier to cite or link to this item: http://hdl.handle.net/10884/640
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dc.contributor.authorChaves, Marcirio-
dc.contributor.authorFreitas, Larissa-
dc.contributor.authorSouza, Marlo-
dc.contributor.authorVieira, Renata-
dc.date.accessioned2012-07-03T10:37:37Z-
dc.date.available2012-07-03T10:37:37Z-
dc.date.issued2012-07-26-
dc.identifier.other10.1007/978-3-642-31178-9_37-
dc.identifier.urihttp://hdl.handle.net/10884/640-
dc.descriptionProceedings of the 17th International Conference on Applications of Natural Language Processing to Information Systems (NLDB), Groningen, The Netherlands, 26-28 June. G. Bouma et al. (Eds.): NLDB 2012, LNCS 7337, pp. 296—301. Springer, Heidelberg.pt_PT
dc.description.abstractThis paper presents the algorithm Polarity Recognizer in Portuguese (PIRPO) to classify sentiment in online reviews. PIRPO was constructed to identify polarity in Portuguese user-generated accommodation reviews. Each review is analysed according to concepts from a domain ontology. We decompose the review in sentences in order to assign a polarity to each concept of the ontology in the sentence. Preliminary results indicate an average F-score of 0.32 for polarity recognition.pt_PT
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.rightsopenAccessen
dc.subjectPortuguese Online Reviewspt_PT
dc.subjectPortuguese Sentiment Analysispt_PT
dc.subjectPortuguese Opinion Miningpt_PT
dc.subjectAccommodation Sectorpt_PT
dc.titlePIRPO: An Algorithm to deal with Polarity in Portuguese Online Reviews from the Accommodation Sectorpt_PT
dc.typeconferenceObjectpt_PT
Appears in Collections:A CTIC/STI - Comunicações a Conferências

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