Apologies for cross-posting.
Submissions are invited to the KDD13 Workshop on Issues of Sentiment Discovery and Opinion Mining (http://sentic.net/wisdom)
, which aims to explore how the wisdom of the crowds is affecting (and will affect) the evolution of the Web and of businesses gravitating around it. In particular, the ACM KDD workshop explores two different stages of sentiment analysis: the former focusing on the identification of opinionated text over the Web, the latter focusing on the classification of such text either in terms of polarity detection or emotion recognition.
The exponential growth of the Social Web is virally infecting more and more critical business processes such as customer support and satisfaction, brand and reputation management, product design and marketing. Because of this global trend, web users already evolved from the era of social relationships, in which they began to get connected and started to share contents, to the era of social functionality, in which they started using social networks as the main platform for communication and dissemination of information. Today, web users are going through the era of social colonization, in which every experience on the Web can be social (e.g., Facebook Like button), and are getting ready for the era of social context, in which web contents will be highly targeted and personalized. The final stage of such Social Web evolution is the so called era of social commerce, in which communities will define future products and services. In such context, the research field of sentiment analysis, which has already been rapidly growing in the last decade, is destined to become more and more important for Web and business dynamics.
The workshop aims to provide an international forum for both researchers and entrepreneurs working in the field of opinion mining to share information on their latest investigations in social information retrieval and their applications in academic research areas and industrial sectors. The broader context of the workshop comprehends AI, Semantic Web, information retrieval, web mining, and natural language processing. Topics of interest include but are not limited to:
• Sentiment identification & classification
• Knowledge-based opinion mining
• Sentiment summarization & visualization
• Entity discovery & extraction
• Opinion aggregation
• Opinion search & retrieval
• Time evolving sentiment analysis
• Opinion spam detection
• Comparative opinion analysis
• Topic detection & trend discovery
• Psychological models for sentiment analysis
• Multilingual opinion mining
• Sentic computing
• Big social data analysis
• Social ranking
• Social network analysis
• Influence, trust & privacy analysis
• Business intelligence applications
• May 8th, 2013: Submission deadline
• June 8th, 2013: Notification of acceptance
• June 18th, 2013: Final manuscripts due
• August 12th, 2013: Workshop date
Accepted papers will be published in KDD WISDOM proceedings. Selected, expanded versions of papers presented at the workshop will be invited to a forthcoming Special Issue of Cognitive Computation on opinion mining and sentiment analysis.
ChengXiang Zhai is an Associate Professor of Computer Science at the University of Illinois at Urbana-Champaign, where he also holds a joint appointment at the Institute for Genomic Biology, Statistics, and the Graduate School of Library and Information Science. He received a Ph.D. in Computer Science from Nanjing University in 1990, and a Ph.D. in Language and Information Technologies from Carnegie Mellon University in 2002. He worked at Clairvoyance Corp. as a Research Scientist and a Senior Research Scientist from 1997 to 2000. His research interests include information retrieval, text mining, natural language processing, machine learning, and bioinformatics. He is an Associate Editor of ACM Transactions on Information Systems, and Information Processing and Management, and serves on the editorial board of Information Retrieval Journal. He is a program co-chair of ACM CIKM 2004, NAACL HLT 2007, and ACM SIGIR 2009. He is an ACM Distinguished Scientist, and received the 2004 Presidential Early Career Award for Scientists and Engineers (PECASE), the ACM SIGIR 2004 Best Paper Award, an Alfred P. Sloan Research Fellowship in 2008, and an IBM Faculty Award in 2009.
• Erik Cambria, National University of Singapore (Singapore)
• Bing Liu, University of Illinois at Chicago (USA)
• Yongzheng Zhang, eBay Research Labs (USA)
• Yunqing Xia, Tsinghua University (China)
Erik Cambria, PhD
Cognitive Science Programme
National University of Singapore
5A Engineering Drive 1, Singapore 117411