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A Sentiment Analysis Model: To Process Subjective Social Corpus through the Adaptation of an Affective Semantic Lexicon

  • Guadalupe Gutiérrez
  • Lourdes Margain
  • Carlos de Luna
  • Alejandro Padilla
  • Julio Ponce
  • Juana Canul
  • Alberto Ochoa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8856)

Abstract

The social networks proliferation over the Internet has generated an interest from the users to express communicate and make opinions about different topics, services or people. This has led the creation of tools, methods, techniques and models that are enable to obtain information from the web in order to analyze and identify the emotion that is shown by the users in their opinions, this has given the key to the development and improvement of sentimental semantic lexicons to the emotional analysis in opinions. This paper shows the proposal of the Model to Analyze Emotions in subjective social corpus through the adaptation of an affective semantic lexicon, focused on the extension of an affective lexicon in order to adequate to the Spanish spoken in Mexico considering the linguistic variations.

Keywords

Affective semantic lexicon opinion mining sentiment analysis 

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References

  1. 1.
    Bing, L.: Sentiment Analysis and Opinion Mining (Synthesis Lectures on Human Language Technologies). Morgan & Claypool Publishers (May 23, 2012) ISBN-13: 978-1608458844Google Scholar
  2. 2.
    Pang, B.L.: Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval 2(1-2) (2008)Google Scholar
  3. 3.
    Nielsen, State of the Media: The Social Media Report 2012. NM Incite (2012)Google Scholar
  4. 4.
    Balahur, A.: Methods and Resources for Senttiment Analysis in Multilingual Documents of Different Text Types. Tesis de Doctorado. Departamento de Lenguajes y Sistemas Informáticos. Universidad de Alicante (2011)Google Scholar
  5. 5.
    Feldman, R.: Techniques and applications for sentiment analysis. Communications ot the ACM 56(4), 82–89 (2013)CrossRefGoogle Scholar
  6. 6.
    Stone, P., Dumphy, D., Smith, M., Ogilvie, D.: The General Inquirer: A Computer Approach to Content Analysis. The MIT Press, Cambridge (1966)Google Scholar
  7. 7.
    Carrillo de Albornoz, J.: Un Modelo Lingüístico-Semántico Basado en Emociones para la Clasificación de Textos según su Polaridad e Intensidad. Tesis doctoral. Departamento de Ingeniería del Software e Inteligencia Artificial. Facultad de Informática. Universidad Complutense de Madrid (2011)Google Scholar
  8. 8.
    Díaz, I., Sidorov, G., Suárez, S.: Creación y Evaluación de un Diccionario Marcado con Emociones Ponderado para el Español. Onomazein (May 29, 2014) doi:10.7764/onomazeinGoogle Scholar
  9. 9.
    Sidorov, G., Miranda-Jiménez, S., Viveros-Jiménez, F., Gelbukh, A., Castro-Sánchez, N., Velásquez, F., Díaz-Rangel, I., Suárez-Guerra, S., Treviño, A., Gordon, J.: Empirical Study of Machine Learning Based Approach for Opinion Mining in Tweets. In: Batyrshin, I., González Mendoza, M. (eds.) MICAI 2012, Part I. LNCS, vol. 7629, pp. 1–14. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  10. 10.
    Wiebe, J., Riloff, E.: Creating Subjective and Objective Sentence Classifiers from Unannotated Texts. In: Gelbukh, A. (ed.) CICLing 2005. LNCS, vol. 3406, pp. 486–497. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  11. 11.
    Ortigosa, A., Martín, J., Carro, R.: Sentiment Analysis in Facebook and its application to e-learning. Computers in Human Behavior (2013), http://dx.doi.org/10.1016/j.chh.2013.05.034
  12. 12.
    Carrillo de Albornoz, J., Plaza, L., Gervás, P.: SentiSense: An easily scalable concept-based affective lexicon for Sentiment Analysis. In: The 8th International Conference on Language Resources and Evaluation, LREC 2012 (2012)Google Scholar
  13. 13.
    Carrillo de Albornoz, J., Chugur, I., Amigó, E.: Using an Emotion-based Model and Sentiment Analysis Techniques to Classify Polarity for Reputation. In: Proceedings CLEF 2012 Labs and Workshop Notebook Paper (2012)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Guadalupe Gutiérrez
    • 1
    • 2
  • Lourdes Margain
    • 1
  • Carlos de Luna
    • 1
  • Alejandro Padilla
    • 3
  • Julio Ponce
    • 3
  • Juana Canul
    • 2
  • Alberto Ochoa
    • 4
  1. 1.Universidad Politécnica de AguascalientesMéxico
  2. 2.Universidad Juárez Autónoma de TabascoMéxico
  3. 3.Universidad Autónoma de AguascalientesMéxico
  4. 4.Universidad Autónoma de Ciudad JuárezMéxico

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