PIRPO: an algorithm to deal with polarity in portuguese online reviews from the accommodation sector

Authors:
Marcirio Silveira Chaves;Larissa A. de Freitas;Marlo Souza;Renata Vieira
Affiliations:
Business and Information Technology Research Center (BITREC), Universidade Atlântica, Oeiras, Portugal;Faculdade de Informática, Pontifícia Universidade Católica do Rio Grande do Sul, Porto, Alegre, Brazil;Faculdade de Informática, Pontifícia Universidade Católica do Rio Grande do Sul, Porto, Alegre, Brazil;Faculdade de Informática, Pontifícia Universidade Católica do Rio Grande do Sul, Porto, Alegre, Brazil
Venue:
NLDB'12 Proceedings of the 17th international conference on Applications of Natural Language Processing and Information Systems
Year:
2012

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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.