Submissions are invited for a workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction (SENTIRE) to be held within the 2011 International Conference on Data Mining (ICDM), taking place from 11th to 14th December in Vancouver (Canada).
ABSTRACT
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. Existing approaches to opinion mining and sentiment analysis can be grouped into four main categories: keyword spotting, in which text is classified according to the presence of fairly unambiguous affect words; lexical affinity, which assigns arbitrary words a probabilistic affinity for a particular emotion or opinion polarity; statistical methods, which calculate the valence of keywords and word co-occurrence frequencies on the base of a large training corpus; finally sentic computing, which uses affective ontologies and common sense reasoning tools for a concept-level analysis of natural language text.
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:
• Opinion & sentiment summarization and visualization
• Explicit and latent semantic analysis for opinion & sentiment mining
• Knowledge base construction and integration with opinion & sentiment analysis
• Transfer learning of opinion & sentiment with knowledge bases
• Time evolving opinion & sentiment analysis
• Opinion & sentiment extraction and retrieval
INVITED SPEAKER
Bing Liu is a professor of Computer Science at University of Illinois at Chicago (UIC). He received his PhD in Artificial Intelligence from the University of Edinburgh. Before joining UIC, he was with the National University of Singapore. His current research interests include opinion mining and sentiment analysis, Web mining, and data mining. He has published extensively in leading conferences and journals in these fields. He has also written a textbook titled “Web Data Mining: Exploring Hyperlinks, Contents and Usage Data” published by Springer. The second edition of the book came out in July 2011. On professional services, Liu has served as program chairs of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), IEEE International Conference on Data Mining (ICDM), ACM Conference on Web Search and Data Mining (WSDM), SIAM Conference on Data Mining (SDM), ACM Conference on Information and Knowledge Management (CIKM), and Pacific Asia Conference on Data Mining (PAKDD). Additionally, he has also served as associate editors of IEEE Transactions on Knowledge and Data Engineering (TKDE), Journal of Data Mining and Knowledge Discovery (DMKD), and SIGKDD Explorations, and is on the editorial boards of several other journals.
TIMEFRAME
• August 5th, 2011: Due date for workshop papers
• September 20th, 2011: Notification of paper acceptance to authors
• October 14th, 2011: Camera-ready of accepted papers
• December 11th, 2011: Workshop date
PROCEEDINGS
Accepted papers will be published in ICDM SENTIRE proceedings. Selected, expanded versions of papers presented at the workshop will be published in a follow-on Special Issue of Springer’s Cognitive Computation journal.
ORGANIZERS
• Erik Cambria, National University of Singapore (Singapore)
• Yangqiu Song, Microsoft Research Asia (China)
• Catherine Havasi, MIT Media Laboratory (USA)
• Amir Hussain, University of Stirling (UK)
