Please use this identifier to cite or link to this item:
http://hdl.handle.net/10884/640Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chaves, Marcirio | - |
| dc.contributor.author | Freitas, Larissa | - |
| dc.contributor.author | Souza, Marlo | - |
| dc.contributor.author | Vieira, Renata | - |
| dc.date.accessioned | 2012-07-03T10:37:37Z | - |
| dc.date.available | 2012-07-03T10:37:37Z | - |
| dc.date.issued | 2012-07-26 | - |
| dc.identifier.other | 10.1007/978-3-642-31178-9_37 | - |
| dc.identifier.uri | http://hdl.handle.net/10884/640 | - |
| dc.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. | pt_PT |
| dc.description.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. | pt_PT |
| dc.language.iso | eng | pt_PT |
| dc.publisher | Springer | pt_PT |
| dc.rights | openAccess | en |
| dc.subject | Portuguese Online Reviews | pt_PT |
| dc.subject | Portuguese Sentiment Analysis | pt_PT |
| dc.subject | Portuguese Opinion Mining | pt_PT |
| dc.subject | Accommodation Sector | pt_PT |
| dc.title | PIRPO: An Algorithm to deal with Polarity in Portuguese Online Reviews from the Accommodation Sector | pt_PT |
| dc.type | conferenceObject | pt_PT |
| Appears in Collections: | A CTIC/STI - Comunicações a Conferências | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| short-nldb_cr.pdf | 193.12 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.