December 12, 2016
Barcelona, Spain
Sentiment Elicitation from Natural Text for Information Retrieval and Extraction (SENTIRE) is the IEEE ICDM workshop series on opinion mining. The term SENTIRE comes from the Latin feel and it is root of words such as sentiment and sensation. 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.
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
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. However, please note that page 9 and 10 are considered extra (and, hence, charged) in the final submission. 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.
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