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Title: PIRPO: An Algorithm to deal with Polarity in Portuguese Online Reviews from the Accommodation Sector
Authors: Chaves, Marcirio
Freitas, Larissa
Souza, Marlo
Vieira, Renata
Keywords: Portuguese Online Reviews
Portuguese Sentiment Analysis
Portuguese Opinion Mining
Accommodation Sector
Issue Date: 26-Jul-2012
Publisher: Springer
Abstract: This 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.
Description: Proceedings 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.
Appears in Collections:A CTIC/STI - Comunicações a Conferências

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