Mexican International Conference on Artificial Intelligence

Advances in Artificial Intelligence and Its Applications pp 105-120 | Cite as

Analysis of Negation Cues for Semantic Orientation Classification of Reviews in Spanish

  • Sofía N. Galicia-Haro
  • Alonso Palomino-Garibay
  • Jonathan Gallegos-Acosta
  • Alexander Gelbukh
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9414)

Abstract

We study the effect of negation cues on semantic orientation prediction. State-of-the-art approaches to semantic orientation derivation are based on automatic classification. We analyze the use of negation cues as features for both supervised and unsupervised methods. We apply such methods on a collection of washing-machine reviews in Spanish. We compare the results of the two approaches and discuss the performance of each negation cue. We found that simple features performed similarly to using more resources.

Keywords

Semantic orientation Opinion reviews Linguistic features Supervised methods Unsupervised methods 

Notes

Acknowledgments

The fourth author recognizes the support of the Instituto Politécnico Nacional, grants SIP 20152095 and SIP 20152100.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Sofía N. Galicia-Haro
    • 1
  • Alonso Palomino-Garibay
    • 1
  • Jonathan Gallegos-Acosta
    • 2
  • Alexander Gelbukh
    • 3
  1. 1.Faculty of SciencesUNAMMexico CityMexico
  2. 2.Postgraduate Program in Computer Science and EngineeringUNAMMexico CityMexico
  3. 3.Centro de Investigación En ComputaciónInstituto Politécnico NacionalMexico CityMexico

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