Appel: IEEE ICDM SENTIRE 2013

Wed Jul 17 09:41:10 UTC 2013

Date: Tue, 16 Jul 2013 15:16:28 +0800
From: Erik Cambria <cambria at nus.edu.sg>
Message-ID: <9D659077-EA2D-4633-B560-BF6CF654569F at nus.edu.sg>

Apologies for cross-posting,

Submissions are invited to the 3rd IEEE ICDM Workshop on Sentiment
Elicitation from Natural Text for Information Retrieval and Extraction
(SENTIRE) to be held at ICDM13 on December 7th in Dallas, Texas.

RATIONALE
Memory and data capacities double approximately every two years and,
apparently, the Web is following the same rule. User-generated contents,
in particular, are an ever-growing source of opinion and sentiments
which are continuously spread worldwide through blogs, wikis, fora,
chats and social networks. The distillation of knowledge from such
sources is a key factor for applications in fields such as commerce,
tourism, education and health, but the quantity and the nature of the
contents they generate make it a very difficult task. Due to such
challenging research problems and wide variety of practical
applications, opinion mining and sentiment analysis have become very
active research areas in the last decade. Our understanding and
knowledge of the problem and its solution are still limited as natural
language understanding techniques are still pretty weak. Most of current
research in sentiment analysis, in fact, merely relies on machine
learning algorithms. Such algorithms, despite most of them being very
effective, produce no human understandable results such that we know
little about how and why output values are obtained. All such
approaches, moreover, rely on syntactical structure of text, which is
far from the way human mind processes natural language. Next-generation
opinion mining systems should employ techniques capable to better grasp
the conceptual rules that govern sentiment and the clues that can convey
these concepts from realization to verbalization in the human mind.

TOPICS
SENTIRE aims to provide an international forum for researchers in the
field of opinion mining and sentiment analysis to share information on
their latest investigations in social information retrieval and their
applications both in academic research areas and industrial sectors. The
broader context of the workshop comprehends Web mining, AI, Semantic
Web, information retrieval and natural language processing. Topics of
interest include but are not limited to:

- Sentiment identification & classification
- Opinion and sentiment summarization & visualization
- Explicit & latent semantic analysis for sentiment mining
- Concept-level opinion and sentiment analysis
- Sentic computing
- Opinion and sentiment search & retrieval
- Time evolving opinion & sentiment analysis
- Semantic multidimensional scaling for sentiment analysis
- Multidomain & cross-domain evaluation
- Domain adaptation for sentiment classification
- Multimodal sentiment analysis
- Multimodal fusion for continuous interpretation of semantics
- Multilingual sentiment analysis & re-use of knowledge bases
- Knowledge base construction & integration with opinion analysis
- Transfer learning of opinion & sentiment with knowledge bases
- Sentiment corpora & annotation
- Affective knowledge acquisition for sentiment analysis
- Biologically inspired opinion mining
- Sentiment topic detection & trend discovery
- Big social data analysis
- Social ranking
- Social network analysis
- Social media marketing
- Comparative opinion analysis
- Opinion spam detection

TIMEFRAME
- August 3rd, 2013: Submission deadline
- September 24th, 2013: Notification of acceptance
- October 15th, 2013: Final manuscripts due
- December 8th, 2013: Workshop date

SUBMISSIONS AND PROCEEDINGS
Authors are required to follow IEEE Computer Society Press Proceedings
Author Guidelines. The paper length is limited to 10 pages, including
references, diagrams, and appendices, if any. Manuscripts are to be
submtted through CyberChair
(http://wi-lab.com/cyberchair/2013/icdm13/scripts/submit.php?subarea=SO). Each
submitted paper will be evaluated by three PC members with respect to
its novelty, significance, technical soundness, presentation, and
experiments. Accepted papers will be published in IEEE ICDM
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.

SPEAKER
Carlo Strapparava is a senior researcher at FBK-irst (Fondazione Bruno
Kessler - Istituto per la ricerca scientifica e Tecnologica) in the
Human Language Technologies Unit. His research activity covers
artificial intelligence, natural language processing, intelligent
interfaces, human-computer interaction, cognitive science,
knowledge-based systems, user models, adaptive hypermedia, lexical
knowledge bases, word-sense disambiguation, affective computing and
computational humour. He is the author of over 150 papers, published in
scientific journals, book chapters and in conference proceedings. He
played a key role in the definition and the development of many projects
funded by European research programmes. He regularly serves in the
program committees of the major NLP conferences (ACL, EMNLP, etc.). He
was executive board member of SIGLEX, a Special Interest Group on the
Lexicon of the Association for Computational Linguistics (2007-2010),
Senseval (Evaluation Exercises for the Semantic Analysis of Text)
organisation committee (2005-2010). On June 2011, he was awarded with a
Google Research Award on Natural Language Processing, specifically on
the computational treatment of creative language.

KEYNOTE
Dealing with creative language and in particular with affective,
persuasive and even humorous language has often been considered outside
the scope of computational linguistics. Nonetheless it is possible to
exploit current NLP techniques starting some explorations about it. We
briefly review some computational experiences about these genres. We
will introduce techniques for dealing with emotional and witty
language. Regarding persuasive language, we will explore the
exploitation of extra-linguistic features (e.g. an audience-reaction
tagged corpus of political speeches), for the analysis of discourse
persuasiveness, We conclude the talk showing some explorations in the
automatic recognition of deceptive language.

ORGANIZERS
- Erik Cambria, National University of Singapore (Singapore)
- Bing Liu, University of Illinois at Chicago (USA)
- Yunqing Xia, Tsinghua University (China)
- Ping Chen, University of Houston-Downtown (USA)

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