Comparing Different Methods for Opinion Mining in Newspaper Articles

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• 作者：Thomas Scholz (1) scholz@cs.uni-duesseldorf.de
  Stefan Conrad (1) conrad@cs.uni-duesseldorf.de
  Isabel Wolters (2) isabel.wolters@pressrelations.de
• 关键词：Opinion Mining – ; Sentiment Score – ; Media Response Analysis
• 刊名：Lecture Notes in Computer Science
• 出版年：2012
• 出版时间：2012
• 年：2012
• 卷：7337
• 期：1
• 页码：259-264
• 全文大小：149.5 KB
• 参考文献：1. Balahur, A., Steinberger, R., Kabadjov, M., Zavarella, V., van der Goot, E., Halkia, M., Pouliquen, B., Belyaeva, J.: Sentiment analysis in the news. In: Proc. of the 7th Intl. Conf. on Language Resources and Evaluation, LREC 2010 (2010)
  2. Bollegala, D., Weir, D., Carroll, J.: Using multiple sources to construct a sentiment sensitive thesaurus for cross-domain sentiment classification. In: Proc. of the 49th Annu. Mtg. of the ACL: Human Language Technologies, HLT 2011, vol. 1, pp. 132–141 (2011)
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• 作者单位：1. Institute of Computer Science, Heinrich-Heine-University, D眉sseldorf, Germany2. Development Department, pressrelations, D眉sseldorf, Germany
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Adapting opinion mining for news articles is a challenging field and at the same time it is very interesting for many analyses, applications and systems in the field of media monitoring. In this paper, we illustrate specifics in this area in comparison with sentiment analysis of product reviews. Likewise, we introduce new methods for the determination of the sentiment polarity in statements, which are extracted from news articles. Our evaluation on a real world data set of a German Media Response Analysis (MRA) shows that these methods perform better than existing approaches and resources.