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Mining User-Generated Content for Social Research and Other Applications

Mining User-Generated Content for Social Research and Other Applications
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Author(s): Rafael E. Banchs (Institute for Infocomm Research, Singapore) and Carlos G. Rodríguez Penagos (Barcelona Media Innovation Centre, Spain)
Copyright: 2013
Pages: 35
Source title: Small and Medium Enterprises: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-3886-0.ch098

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Abstract

The main objective of this chapter is to present a general overview of the most relevant applications of text mining and natural language processing technologies evolving and emerging around the Web 2.0 phenomenon (such as automatic categorization, document summarization, question answering, dialogue management, opinion mining, sentiment analysis, outlier identification, misbehavior detection, and social estimation and forecasting) along with the main challenges and new research opportunities that are directly and indirectly derived from them.

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