Appel: KDD13 Workshop on Issues of Sentiment Discovery and Opinion Mining

[Thierry Hamon]

Date: Sat, 30 Mar 2013 18:02:03 +0800
From: Erik Cambria <cambria at nus.edu.sg>
Message-ID: <99A7B3A7-5B67-4C22-A777-82C8D8A3165D at nus.edu.sg>
X-url: http://sentic.net/wisdom
X-url: http://sentic.net


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.

RATIONALE
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.

TOPICS
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

TIMEFRAME
- May 8th, 2013: Submission deadline
- June 8th, 2013: Notification of acceptance
- June 18th, 2013: Final manuscripts due
- August 12th, 2013: Workshop date

PROCEEDINGS
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.

INVITED SPEAKER
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.

ORGANIZERS
- 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)

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