Opinion Mining on the Web 2.0 - Characteristics of User Generated Content and Their Impacts

Outline

G. Petz, M. Karpowicz, H. Fürschuß, A. Auinger, V. Stříteský, A. Holzinger - Opinion Mining on the Web 2.0 - Characteristics of User Generated Content and Their Impacts - Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, Maribor, Slovenia, Slowenien, 2013, pp. 35-46

Abstract

The field of opinion mining provides a multitude of methods and techniques to be utilized to find, extract and analyze subjective information, such as the one found on social media channels. Because of the differences be-tween these channels as well as their unique characteristics, not all approaches are suitable for each source; there is no “one-size-fits-all” approach. This paper aims at identifying and determining these differences and characteristics by per-forming an empirical analysis as a basis for a discussion which opinion mining approach seems to be applicable to which social media channel.