Sentiment Analysis in Colombian Online Newspaper Comments

  • Diego Pérez-Granados
  • Carlos Lozano-Garzón
  • Alexandra López-Urueña
  • Claudia Jiménez-Guarín
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 157)


The Web 2.0 evolution has renovated the way in which the producers and consumers of information interact. Online newspapers have allowed readers to express their views of the news being read, by publishing a comment. Recognizing that the aggregation of comments can produce valuable information about the topic being commented is the main contribution of the present work. It presents the development and the results of NOA, a web application intended to detect opinion tendencies, using sentiment analysis and NoSQL technology. It produces an aggregated, qualitative and quantitative tendency. NOA also diagnoses the quality of the comments from a Web source. It is tested on three online newspapers, gathering the information required to make a valuable opinion. Conclusions are withdrawn from the quality of the comments and the commenting culture in general.


Search Term Sentiment Analysis Online Newspaper NoSQL Database Newspaper Comment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Casa Editorial El Tiempo: EL TIEMPO fortalece su liderazgo, según el EGM - Archivo - Archivo Digital de Noticias de Colombia y el Mundo desde 1.990 - In:, HYPERLINK (accessed August 10, 2010)
  2. 2.
    JFreeChart: JFreeChart Homepage. In: JFreeChart. HYPERLINK,
  3. 3.
    Alias-i: LingPipe Homepage. In: LingPipe. HYPERLINK,
  4. 4.
    OpenCloud: OpenCloud - Tag Cloud Java Library. In: OpenCloud. HYPERLINK,
  5. 5.
    Secretaría de Prensa - Presidencia de la República Colombia: SP NOTICIAS - Presidencia de la República de Colombia. In: Presidencia de la República de Colombia, HYPERLINK, (accessed March 13, 2009)
  6. 6.
    Chris, G., Trish, S.: Structured Systems Analysis: Tools and Techniques. Prentice Hall, Englewood Cliffs (1979)Google Scholar
  7. 7.
    Denecke, K.: Using SentiWordNet for multilingual sentiment analysis. In: IEEE 24th International Conference on Data Engineering Workshop, Cancún, México, vol. I, pp. 507–512 (2008)Google Scholar
  8. 8.
    Hung-Yu, K., Zi-Yu, L.: A Categorized Sentiment Analysis of Chinese Reviews by Mining Dependency in Product Features and Opinions from Blogs. In: 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Toronto, ON, vol. I, pp. 456–459 (August 2010)Google Scholar
  9. 9.
    Leavitt, N.: Will NoSQL Databases Live Up to Their Promise? Computer 43(2), 12–14 (2010)CrossRefGoogle Scholar
  10. 10.
    Seifert, C., Kump, B., Kienreich, W., Granitzer, G., Granitzer, M.: On the Beauty and Usability of Tag Clouds. In: 12th International Conference Information Visualisation, London, UK, vol. I, pp. 17–25 (July 2008)Google Scholar
  11. 11.
    Wiebe, J.: Tracking point of view in narrative. Journal Computational Linguistics 20(2), 233–287 (1994)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Diego Pérez-Granados
    • 1
  • Carlos Lozano-Garzón
    • 1
  • Alexandra López-Urueña
    • 1
  • Claudia Jiménez-Guarín
    • 1
  1. 1.Dep. of Syst. and Comput. Eng.Univ. de los AndesBogotáColombia

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