[Elsnet-list] Call for Participation: ACM KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM)

Erik Cambria cambria at nus.edu.sg
Wed Jul 4 05:18:33 CEST 2012

Apologies for cross-posting.

Participations are invited for the Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM), to be held next 12th August in Beijing within ACM KDD 2012.

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.
WISDOM 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 workshop will 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 (NLP). In addition to paper presentations, an invited talk by Professor Bing Liu will stress the interdisciplinary challenges of opinion mining and sentiment analysis. 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
•  Social ranking
•  Social network analysis
•  Influence, trust & privacy analysis
•  Business intelligence applications

Bing Liu is a professor of Computer Science at University of Illinois at Chicago (UIC). He received his PhD in Artificial Intelligence from the University of Edinburgh. Before joining UIC, he was with the National University of Singapore. His current research interests include opinion mining and sentiment analysis, Web mining, and data mining. He has published extensively in leading conferences and journals in these fields. He has also written a textbook titled “Web Data Mining: Exploring Hyperlinks, Contents and Usage Data” published by Springer. The second edition of the book came out in July 2011. On professional services, Liu has served as program chairs of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), IEEE International Conference on Data Mining (ICDM), ACM Conference on Web Search and Data Mining (WSDM), SIAM Conference on Data Mining (SDM), ACM Conference on Information and Knowledge Management (CIKM), and Pacific Asia Conference on Data Mining (PAKDD). Additionally, he has also served as associate editors of IEEE Transactions on Knowledge and Data Engineering (TKDE), Journal of Data Mining and Knowledge Discovery (DMKD), and SIGKDD Explorations, and is on the editorial boards of several other journals.

•	Opening Remarks (Yongzheng Zhang and Yunqing Xia)
•	Keynote Talk: Detecting Fake Opinions in Social Media (Bing Liu)

10:15-10:30: Morning Break

10:30-12:00: Session I
•	A Bayesian Modeling Approach to Multi-Dimensional Sentiment Distributions Prediction (Yulan He)
•	Transverse Subjectivity Classification (Dinko Lambov and Gaël Dias)
•	Combining Lexicon and Learning based Approaches for Concept-Level Sentiment Analysis (Andrius Mudinas, Dell Zhang and Mark Levene)

12:00-13:00: Lunch Break

13:00-15:00: Session II
•	A Unified Graph Model for Chinese Product Review Summarization Using Richer Information (He Huang and Chunping Li)
•	Retrieval Approach to Extract Opinions about People from Resource Scarce Language News Articles (Aditya Mogadala and Vasudeva Varma)
•	A Generic Approach to Generate Opinion Lists of Phrases for Opinion Mining Applications (Sven Rill, Johannes Drescher, Dirk Reinel, Joerg Scheidt, Oliver Schuetz, Florian Wogenstein and Daniel Simon)
•	Finding Emotion in Image Descriptions (Morgan Ulinski, Victor Soto and Julia Hirschberg)

15:00-15:15: Afternoon Break

15:15-17:00: Session III
•	Predicting Collective Sentiment Dynamics from Time-series Social Media (Le Nguyen, Pang Wu, William Chan, Wei Peng and Ying Zhang)
•	Crowdsourcing Recommendations from Social Sentiment (Yusheng Xie, Yu Cheng, Daniel Honbo, Kunpeng Zhang, Ankit Agrawal and Alok Choudhary)
•	Fast Learning for Sentiment Analysis on Bullying (Jun-Ming Xu, Xiaojin Zhu and Amy Bellmore)
•	Closing Remarks (Yongzheng Zhang and Yunqing Xia)

•  Erik Cambria, National University of Singapore (Singapore)
•  Yongzheng Zhang, eBay Research Labs (USA)
•  Yunqing Xia, Tsinghua University (China)
•  Newton Howard, MIT Media Laboratory (USA)

For more information, please visit http://sentic.net/wisdom
Erik Cambria, PhD
Research Scientist

Temasek Laboratories
Cognitive Science Programme
National University of Singapore
5A Engineering Drive 1, Singapore 117411

Web: http://sentic.net
Email: cambria at nus.edu.sg
Twitter: http://twitter.com/senticnet
Facebook: http://facebook.com/senticnet

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