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Subject: [ E-CFP ] DEADLINE EXTENSION: 3rd IEEE ICDM Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extr
From: <cambria_(on)_nus.edu.sg>
Date received: 06 Aug 2013
Deadline: 17 Aug 2013
Start date: 07 Dec 2013





Apologies for cross-posting,

The deadline of the 3rd IEEE ICDM Workshop on Sentiment
Elicitation from Natural Text for Information Retrieval and
Extraction (SENTIRE) has been extended to 17th August. This year,
ICDM SENTIRE will be held in Dallas on December 7th. For more
information, please visit http://sentic.net/sentire

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 17th, 2013: Submission deadline  September
24th, 2013: Notification of acceptance  October 15th, 2013:
Final manuscripts due  December 7th, 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. 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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