Spelling out opinions: Difficult cases of sentiment analysis

In recent years there is growing interest to the opinion mining applications in numerous areas of information and social science. In this paper we investigate main problems in opinion mining and sentiment analysis systems development. We review examples of difficulties in process of opinion extraction and introduce essential multidimensionality of opinion mining. We carried out a series of experiments with different sentiment analyzers and classified main reasons of incorrect sentiment recognition.

[1]  Ming Xu,et al.  Feature-level sentiment analysis for Chinese product reviews , 2011, 2011 3rd International Conference on Computer Research and Development.

[2]  Andrés Montoyo,et al.  A feature dependent method for opinion mining and classification , 2008, 2008 International Conference on Natural Language Processing and Knowledge Engineering.

[3]  Bo Pang,et al.  Thumbs up? Sentiment Classification using Machine Learning Techniques , 2002, EMNLP.

[4]  Andrea Esuli,et al.  Sentiment Quantification , 2010, IEEE Intell. Syst..

[5]  Xiaohui Yu,et al.  An Adaptive Model for Probabilistic Sentiment Analysis , 2010, 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

[6]  Daniel A. Keim,et al.  Visual sentiment analysis on twitter data streams , 2011, 2011 IEEE Conference on Visual Analytics Science and Technology (VAST).

[7]  Hsinchun Chen,et al.  AI and Opinion Mining , 2010, IEEE Intelligent Systems.

[8]  Mike Thelwall,et al.  Sentiment strength detection for the social web , 2012, J. Assoc. Inf. Sci. Technol..

[9]  Vitaly Klyuev,et al.  An Opinion Mining Technique For Chinese Blogs , 2012 .

[10]  Seiji Inokuchi,et al.  Sentiment extraction in music , 1988, [1988 Proceedings] 9th International Conference on Pattern Recognition.

[11]  Yue Xu,et al.  State-of-the-art review on opinion mining from online customers' feedback , 2009 .

[12]  Andrea Esuli,et al.  AI and Opinion Mining, Part 2 , 2010, IEEE Intelligent Systems.

[13]  Bo Pang,et al.  Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales , 2005, ACL.

[14]  V. S. Subrahmanian Mining Online Opinions , 2009, Computer.

[15]  Khairullah Khan,et al.  Mining opinion from text documents: A survey , 2009, 2009 3rd IEEE International Conference on Digital Ecosystems and Technologies.

[16]  Mike Thelwall,et al.  Sentiment in short strength detection informal text , 2010 .

[17]  Ung-Mo Kim,et al.  Credibility Evaluation and Results with Leader-Weight in Opinion Mining , 2010, 2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery.

[18]  Bing Liu,et al.  Sentiment Analysis and Subjectivity , 2010, Handbook of Natural Language Processing.

[19]  Shishir K. Shandilya,et al.  Automatic Opinion Extraction from Web Documents , 2009, 2009 International Conference on Computer and Automation Engineering.