@inproceedings{fdaba9d7d5704e3bba8be86fc4aadd90,
title = "Opinion Mining on the Web 2.0 - Characteristics of User Generated Content and Their Impacts",
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.",
keywords = "opinion mining, user generated content, sentiment analysis, text mining, content extraction, language detection, Internet slang, opinion mining, user generated content, sentiment analysis, text mining, content extraction, language detection, Internet slang",
author = "Gerald Petz and Karpowicz, {Michal Jan} and Harald F{\"u}rschu{\ss} and Andreas Auinger and V{\'a}clav St{\v r}{\'i}tesk{\'y} and Andreas Holzinger",
year = "2013",
doi = "10.1007/978-3-642-39146-0_4",
language = "English",
isbn = "978-3-642-39145-3",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "35--46",
booktitle = "Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data - Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Proceedings",
address = "Germany",
note = "SouthCHI ; Conference date: 01-07-2013 Through 03-07-2013",
}