Abstract
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 Conclusions are withdrawn from the quality of the comments and the commenting culture in general.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
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 - eltiempo.com. In: eltiempo.com, HYPERLINK http://www.eltiempo.com/archivo/documento/MAM-4091310 (accessed August 10, 2010)
JFreeChart: JFreeChart Homepage. In: JFreeChart. HYPERLINK, http://www.jfree.org/jfreechart/
Alias-i: LingPipe Homepage. In: LingPipe. HYPERLINK, http://alias-i.com/lingpipe/
OpenCloud: OpenCloud - Tag Cloud Java Library. In: OpenCloud. HYPERLINK, http://opencloud.mcavallo.org/
Secretaría de Prensa - Presidencia de la República Colombia: SP NOTICIAS - Presidencia de la República de Colombia. In: Presidencia de la República de Colombia, HYPERLINK, http://web.presidencia.gov.co/sp/2009/marzo/13/10132009.html (accessed March 13, 2009)
Chris, G., Trish, S.: Structured Systems Analysis: Tools and Techniques. Prentice Hall, Englewood Cliffs (1979)
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)
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)
Leavitt, N.: Will NoSQL Databases Live Up to Their Promise? Computer 43(2), 12–14 (2010)
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)
Wiebe, J.: Tracking point of view in narrative. Journal Computational Linguistics 20(2), 233–287 (1994)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pérez-Granados, D., Lozano-Garzón, C., López-Urueña, A., Jiménez-Guarín, C. (2012). Sentiment Analysis in Colombian Online Newspaper Comments. In: Gaol, F. (eds) Recent Progress in Data Engineering and Internet Technology. Lecture Notes in Electrical Engineering, vol 157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28798-5_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-28798-5_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28797-8
Online ISBN: 978-3-642-28798-5
eBook Packages: EngineeringEngineering (R0)