@inproceedings{0bc43ba8153c4cc1be601563967338f9,
title = "On text preprocessing for opinion mining outside of laboratory environments",
abstract = "Opinion mining deals with scientific methods in order to find, extract and systematically analyze subjective information. When performing opinion mining to analyze content on the Web, challenges arise that usually do not occur in laboratory environments where prepared and preprocessed texts are used. This paper discusses preprocessing approaches that help coping with the emerging problems of sentiment analysis in real world situations. After outlining the identified shortcomings and presenting a general process model for opinion mining, promising solutions for language identification, content extraction and dealing with Internet slang are discussed.",
keywords = "content extraction, Internet slang, language detection, Opinion mining, sentiment analysis, text mining, Web analytics",
author = "Gerald Petz and Karpowicz, {Michal Jan} and Harald F{\"u}rschu{\ss} and Andreas Auinger and Stephan Winkler and Susanne Schaller and Andreas Holzinger",
note = "Copyright: Copyright 2012 Elsevier B.V., All rights reserved.; 8th International Conference on Active Media Technology, AMT 2012 ; Conference date: 04-12-2012 Through 07-12-2012",
year = "2012",
doi = "10.1007/978-3-642-35236-2_62",
language = "English",
isbn = "9783642352355",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "618--629",
booktitle = "Active Media Technology - 8th International Conference, AMT 2012, Proceedings",
address = "Germany",
}