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From: Erik Cambria <cambria <at> nus.edu.sg>
Subject: Call for Papers: ACM KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM)
Newsgroups: gmane.science.linguistics.corpora
Date: Friday 20th April 2012 03:32:13 UTC (over 6 years ago)
Apologies for cross-posting.

Submissions are invited for the Workshop on Issues of Sentiment Discovery
and Opinion Mining (WISDOM), to be held this August in Beijing within ACM

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.

•  May 2nd, 2012: Due date for workshop papers
•  June 2nd, 2012, 2011: Notification of paper acceptance to authors
•  June 12th, 2012, 2011: Camera-ready of accepted papers
•  August 12th, 2012: Workshop date

•  Workshop main page: http://sentic.net/wisdom
•  Conference main page: http://kdd.org/kdd2012
•  Workshop submission page: http://easychair.org/account/signin.cgi?conf=wisdom2012

•  Alexandra Balahur, University of Alicante (Spain)
•  Sandra Baldassarri, University of Zaragoza (Spain)
•  Catherine Baudin, eBay Research Labs (USA)
•  Eva Cerezo, University of Zaragoza (Spain)
•  Praphul Chandra, HP Labs India (India)
•  Amitava Das, Norwegian University of Science and Technology (Norway)
•  Dipankar Das, Jadavpur University (India)
•  Sergio Decherchi, Italian Institute of Technology (Italy)
•  Rafael Del Hoyo, Aragon Institute of Technology (Spain)
•  Tariq Durrani, University of Strathclyde (UK)
•  Paolo Gastaldo, University of Genoa (Italy)
•  Marco Grassi, Marche Polytechnic University (Italy)
•  Minlie Huang, Tsinghua University (China)
•  Isabelle Hupont, Aragon Institute of Technology (Spain)
•  Amir Hussain, University of Stirling (UK)
•  Raymond Lau, City University of Hong Kong (Hong Kong)
•  Shixia Liu, Microsoft Research Asia (China)
•  Saif Mohammad, National Research Council (Canada)
•  Samaneh Moghaddam, Simon Fraser University (Canada)
•  Muaz Niazi, Bahria University (Pakistan)
•  Bjoern Schuller, Technical University of Munich (Germany)
•  Stefano Squartini, Marche Polytechnic University (Italy)
•  Kam-Fai Wong, Chinese University of Hong Kong (Hong Kong)
•  Rui Xia, Nanjing University of Science and Technology (China)
•  Lei Zhang, University of Illinois at Chicago (USA)

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

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

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