Skip to main content

Evaluating EmotiBlog Robustness for Sentiment Analysis Tasks

  • Conference paper
Book cover Natural Language Processing and Information Systems (NLDB 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6716))

Abstract

EmotiBlog is a corpus labelled with the homonymous annotation schema designed for detecting subjectivity in the new textual genres. Preliminary research demonstrated its relevance as a Machine Learning resource to detect opinionated data. In this paper we compare EmotiBlog with the JRC corpus in order to check the EmotiBlog robustness of annotation. For this research we concentrate on its coarse-grained labels. We carry out a deep ML experimentation also with the inclusion of lexical resources. The results obtained show a similarity with the ones obtained with the JRC demonstrating the EmotiBlog validity as a resource for the SA task.

This work has been partially founded by the TEXTMESS 2.0 (TIN2009-13391-C04-01) and Prometeo (PROMETEO/2009/199) projects and also by the complimentary action from the Generalitat valenciana (ACOMP/2011/001).

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. Agirre, E., Lopez de Lacalle, O., Fellbaum, C., Hsieh, S., Tesconi, M., Monachini, M., Vossen, P., Segers, R.: SemEval-2010 Task 17: All-words Word Sense Disambiguation on a Specific Domain (2010)

    Google Scholar 

  2. Balahur, A., Boldrini, E., Montoyo, A., MartÃnez-Barco, P.: Opinion and Generic Question Answering systems: a performance analysis. In: Proceedings of ACL, Singapore (2009c)

    Google Scholar 

  3. - Balahur, A., Boldrini, E., Montoyo, A., MartÃnez-Barco, P.: A Unified Proposal for Factoid and Opinionated Question Answering. In: Proceedings of the COLING Conference (2010a)

    Google Scholar 

  4. - Balahur, A., Boldrini, E., Montoyo, A., MartÃnez-Barco, P.: Opinion Question Answering: Towards a Unified Approach. In: Proceedings of the ECAI Conference (2010b)

    Google Scholar 

  5. Balahur A., Lloret E., Boldrini E., Montoyo A., Palomar M., MartÃnez-Barco P.: Summarizing Threads in Blogs Using Opinion Polarity. In: Proceedings of ETTS Workshop. RANLP (2009a)

    Google Scholar 

  6. Balahur A., Montoyo A.: Applying a Culture Dependent Emotion Triggers Database for Text Valence and Emotion Classification. In: Proceedings of the AISB 2008 Symposium on Affective Language in Human and Machine, Aberdeen, Scotland (2008)

    Google Scholar 

  7. - Boldrini, E., Balahur, A., MartÃnez-Barco, P., Montoyo, A.: EmotiBlog: a finer-grained and more precise learning of subjectivity expression models. In: Proceedings of LAW IV, ACL (2010)

    Google Scholar 

  8. - Boldrini, E., Balahur, A., MartÃnez-Barco, P., Montoyo, A.: EmotiBlog: an Annotation Scheme for Emotion Detection and Analysis in Non-traditional Textual Genres. In: Proceedings of DMIN, Las Vegas (2009a)

    Google Scholar 

  9. Cerini, S., Compagnoni, V., Demontis, A., Formentelli, M., Gandini, G.: Micro-WNOp: A gold standard for the evaluation of automatically compiled lexical resources for opinion mining. In: Angeli, F. (ed.) Language Resources and Linguistic Theory: Typology, Second Language Acquisition, English Linguistics, Milano, IT (2007) (forthcoming)

    Google Scholar 

  10. Dave, K., Lawrence, S., Pennock, D.: Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews. In: Proceedings of WWW 2003 (2003)

    Google Scholar 

  11. Esuli, A., Sebastiani, F.: SentiWordNet: A Publicly Available Resource for Opinion Mining. In: Proceedings of the 6th International Conference on Language Resources and Evaluation, LREC 2006, Genoa, Italy (2006)

    Google Scholar 

  12. Gamon, M., Aue, S., Corston-Oliver, S., Ringger, E.: Mining Customer Opinions from Free Text. In: Famili, A.F., et al. (eds) IDA 2005. LNCS, vol. 3646, pp. 121–132. Springer, Heidelberg (2005)

    Google Scholar 

  13. Hatzivassiloglou, V., Wiebe, J.: Effects of adjective orientation and gradability on sentence subjectivity. In: Proceedings of COLING (2000)

    Google Scholar 

  14. Kim, S.M., Hovy, E.: Determining the Sentiment of Opinions. In: Proceedings of COLING 2004 (2004)

    Google Scholar 

  15. Liu, B.: Web Data Mining book. Ch. 11 (2006)

    Google Scholar 

  16. Liu, B.: Web Data Mining. In: Exploring Hyperlinks, Contents and Usage Data, 1st edn. Springer, Heidelberg (2007)

    Google Scholar 

  17. McDonald, R., Hannan, K., Neylon, T., Wells, M., Reynar, J.: Structured Models for Fine-to-Coarse Sentiment Analysis. In: Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics (2007)

    Google Scholar 

  18. Miller, G.A.: WordNet: A Lexical Database for English (1995)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Fernández, J., Boldrini, E., Gómez, J.M., Martínez-Barco, P. (2011). Evaluating EmotiBlog Robustness for Sentiment Analysis Tasks. In: Muñoz, R., Montoyo, A., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2011. Lecture Notes in Computer Science, vol 6716. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22327-3_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-22327-3_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22326-6

  • Online ISBN: 978-3-642-22327-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics