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Category:   E-CFP
Subject:   DEADLINE EXTENSION: 3rd IEEE ICDM Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extr
Email:   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) __________________________________________ - ELSNET mailing list Elsnet-list_(at)_elsnet.org - To manage your subscription go to: https://list.hum.uu.nl/cgi-bin/mailman/listinfo/elsnet-list

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