Skip to main content

PIRPO: An Algorithm to Deal with Polarity in Portuguese Online Reviews from the Accommodation Sector

  • Conference paper
Natural Language Processing and Information Systems (NLDB 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7337))

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chaves, M.S., Trojahn, C.: Towards a multilingual ontology for ontology-driven content mining in social web sites. In: 1st International Workshop on Cross-Cultural and Cross-Lingual Aspects of the Semantic Web (ISWC 2010), Shanghai, China (2010)

    Google Scholar 

  2. Chaves, M.S., Gomes, R., Pedron, C.: Analysing reviews in the Web 2.0: Small and Medium Hotels in Portugal. Tourism Management (2011)

    Google Scholar 

  3. Chaves, M. S., Gomes, R. e Pedron, C.: Decision-making based on Online Reviews: The Small and Medium Hotel Management. In: 20th European Conference on Information Systems, Barcelona, Spain, June 10-13 (to appear, 2012)

    Google Scholar 

  4. Chesley, P., Vincent, B., Xu, L., Srihari, R.: Using verbs and adjectives to automatically classify blog sentiment. In: AAAI Symposium on Computational Approaches to Analysing Weblogs (AAAI-CAAW), pp. 27–29 (2006)

    Google Scholar 

  5. Ding, X., Liu, B., Yu, P.S.: A holistic lexicon-based approach to opinion mining. In: Proceedings of First ACM International Conference on Web Search and Data Mining, WSDM 2008 (2008)

    Google Scholar 

  6. Kar, A., Mandal, D.P.: Finding opinion strength using fuzzy logic on web reviews. International Journal of Engineering and Industries 2(1) (2011)

    Google Scholar 

  7. Liu, B.: Sentiment analysis and subjectivity, 2nd edn. Handbook of Natural Language Processing (2010)

    Google Scholar 

  8. Souza, M., Vieira, R., Busetti, D., Chishman, R., Alves, I.M.: Construction of a Portuguese opinion lexicon from multiple resources. In: The 8th Brazilian Symposium in Information and Human Language Technology (STIL 2011), Cuiabá, Brazil (2011)

    Google Scholar 

  9. Taboada, M., Brooke, J., Tofiloski, M., Voll, K.D., Stede, M.: Lexicon-based methods for sentiment analysis. Computational Linguistics 37(2), 267–307 (2011)

    Article  Google Scholar 

  10. Tang, H., Tan, S., Cheng, X.: A survey on sentiment detection of reviews. Expert Systems with Applications 36(7), 10760–10773 (2009)

    Article  Google Scholar 

  11. Thelwall, M., Buckley, K., Paltoglou, G., Cai, D., Kappas, A.: Sentiment in short strength detection informal text. JASIST 61(12), 2544–2558 (2010)

    Article  Google Scholar 

  12. Wilson, T., Wiebe, J., Hoffmann, P.: Recognizing contextual polarity: An exploration of features for phrase-level sentiment analysis. Computational Linguistics 35, 399–433 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chaves, M.S., de Freitas, L.A., Souza, M., Vieira, R. (2012). PIRPO: An Algorithm to Deal with Polarity in Portuguese Online Reviews from the Accommodation Sector. In: Bouma, G., Ittoo, A., Métais, E., Wortmann, H. (eds) Natural Language Processing and Information Systems. NLDB 2012. Lecture Notes in Computer Science, vol 7337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31178-9_37

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31178-9_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31177-2

  • Online ISBN: 978-3-642-31178-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics