- From: Diego Reforgiato <diego.reforgiato@istc.cnr.it>
- Date: Tue, 18 Feb 2014 10:40:03 +0100
- To: semantic-web@w3.org
- Message-ID: <53032A73.2090906@istc.cnr.it>
** apologies for cross-posting ** ============================================ Call for Workshop: Semantic Sentiment Analysis 2014 Semantic Web and Sentiment Analysis ============================================ http://ontologydesignpatterns.org/wiki/SemanticSentimentAnalysis2014 Dates: May 25, 2014 Hashtag: #ssa2014 Venue: Anissaras, Crete, Greece Jointly with the 11th ESWC 2014 (http://2014.eswc-conferences.org) Workshop Chairs: - Aldo Gangemi (U. Paris Nord France/ISTC-CNR Rome Italy) - Harith Alani (KMI-OU Milton Keynes UK) - Malvina Nissim (University of Bologna, Italy) - Erik Cambria (NUS Singapore) - Diego Reforgiato Recupero (ISTC-CNR Catania Italy) Mining opinions and sentiments from natural language is a difficult task as opinions and sentiments are often conveyed implicitly through latent semantics, which make approaches based on surface lexical hints less effective in those cases. To this end, semantic sentiment analysis may go beyond word-level analysis of text, and provide novel approaches to opinion mining and sentiment analysis that allow a more efficient passage from (unstructured) textual information to (structured) machine-processable data, in potentially any domain. Semantic sentiment analysis may benefit from the use of web ontologies (e.g. linked data, multilingual linked lexica, linked vocabularies), or graph-based quasi-ontologies (e.g. ConceptNet, SenticNet, Nell, OIE, etc.) which enable the aggregation of conceptual and affective information associated with natural language opinions. This workshop focuses on the introduction, presentation, and discussion of novel approaches to semantic sentiment analysis. Special focus will be given to semantic methods, models, and tools that exploit common-sense knowledge bases to perform multi- or open-domain sentiment analysis. The intended audience of the workshop includes researchers from academia and industry as well as professionals and industrial practitioners to discuss and exchange positions on new hybrid techniques, which use semantics for sentiment analysis. The expected number of participants ranges between 20 and 40. * Topics of Interest * Topics of Includes but not limited to: .. Ontologies and knowledge bases for sentiment analysis .. Topic and entity based sentiment analysis .. Evolution of sentiment within and across social media systems and topics .. Semantic processing of social media for sentiment analysis .. Contextualised sentiment analysis .. Comparison of semantic approaches for sentiment analysis .. Personalised sentiment analysis and monitoring .. Prediction of sentiment towards events, people, organisations, etc. .. Baselines and datasets for semantic sentiment analysis .. Concept-level sentiment analysis .. Biologically-inspired opinion mining * Submission Guidelines * Submissions must comply with the Springer LNCS style and will be made using EasyChair at the following link https://www.easychair.org/conferences/?conf=ssa14. Authors are invited to submit full papers (up to 8 e.g. original work) pages or short papers (up to 4 pages e.g. pilot experiments, position statement, short communications). Accepted papers will be published by CEUR-WS. Moreover, selected expanded versions of workshop papers will be invited for a special issue of Springer Cognitive Computation (http://springer.com/journal/12559). At least one of the authors of the accepted papers must register for both the main conference and the workshop to be included into the workshop proceedings. * Important Dates * Submission Deadline: March 6, 2014 Notification of Acceptance: April 1, 2014 Camera-Ready Paper: April 15, 2014
Received on Tuesday, 18 February 2014 09:50:41 UTC