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SENTIRE 2015 : 5th ICDM Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction | |||||||||||||||
Link: http://sentic.net/sentire | |||||||||||||||
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Call For Papers | |||||||||||||||
Apologies for cross-posting,
Submissions are invited to the 5th ICDM Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction (SENTIRE) to be held at ICDM'15 this November in Atlantic City. 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 the 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 SUBMISSIONS AND PROCEEDINGS Authors are required to follow IEEE ICDM Proceedings Author Guidelines. The paper length is limited to 10 pages, including references, diagrams, and appendices, if any. Manuscripts are to be submitted through CyberChair. 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. TIMEFRAME • July 20th, 2015: Submission deadline • September 1st, 2015: Notification of acceptance • September 10th, 2015: Final manuscripts due • November 14th, 2015: Workshop date ORGANIZERS • Erik Cambria, Nanyang Technological University (Singapore) • Bing Liu, University of Illinois at Chicago (USA) • Yunqing Xia, Microsoft Research Asia (China) • Yongzheng Zhang, LinkedIn Inc. (USA) |
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