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 Conclusions are withdrawn from the quality of the comments and the commenting culture in general.
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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
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DOI: https://doi.org/10.1007/978-3-642-28798-5_16
Publisher Name: Springer, Berlin, Heidelberg
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