[Corpora-List] 1st Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA 2010): SECOND CALL FOR PAPERS

Ester Boldrini eboldrini at dlsi.ua.es
Tue Apr 27 23:50:42 CEST 2010


*1st Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA 2010)*

*Call for papers* Subjectivity and sentiment analysis (opinion mining) are two tasks of growing importance in the field of Natural Language Processing (NLP). This is due to their high applicability to real-life domains -- e.g. marketing, policy-making, decision-support, e-Government -- but also to the fact that they improve other NLP tasks, such as Information Extraction, Information Retrieval or Question Answering. The aim of this workshop is to bring together researchers in computational linguistics, dealing with subjectivity and sentiment analysis, but also from other disciplines related to this area: psychologists, sociologists, economists etc., with the objective of facilitating an interdisciplinary dialogue on the analysis, requirements, issues and applications of the study of subjectivity and sentiment in the context of traditional and emerging text types. We are especially interested in real-life applications, comparisons between approaches on different text types, in a monolingual or multilingual setting, joint topic and sentiment analysis, creation, annotation and evaluation of resources.

*Topics of interest* We welcome original and unpublished evaluation or position papers on all subjectivity and sentiment-related issues. Some suggested topics include, but are not limited to: Subjectivity and opinion retrieval, extraction, categorization, aggregation and summarization Topic and sentiment studies and applications of topic-sentiment analysis Mass opinion estimation based on NLP and statistical models. Domain, topic and genre dependency of sentiment analysis Ambiguity issues and word sense disambiguation of subjective language Intrinsic and extrinsic evaluation methodologies Proposals involving the computational treatment of large amounts of data Pragmatic analysis of the opinion mining task Use of Semantic Web technologies for subjectivity and sentiment analysis Annotation schemes for subjectivity and corpora creation Improvement of NLP tasks using subjectivity and/or sentiment analysis Real-world applications of opinion mining systems.

*Organisers (Co-chairs)* Andre?s Montoyo, University of Alicante Patricio Marti?nez-Barco, University of Alicante Alexandra Balahur, University of Alicante Ester Boldrini, University of Alicante

*Program Commitee* Aurora Pons, CERPAMID, Universidad del Oriente, Cuba Carlo Strapparava, FBK, Italy Constantin Orasan, University of Wolverhampton, U.K. Dan Cristea, "A. I. Cuza" University Iasi, Romania Dan Tufis, RACAI, Romania Eneko Agirre, University of the Basque Country German Rigau, University of the Basque Country, Spain Gu?nter Neumann, DFKI, Germany Hristo Tanev, EC- Joint Research Centre, Italy Janyce Wiebe, University of Pittsburg, U.S.A Jesu?s M. Hermida, University of Alicante, Spain Jose? Antonio Troyano, University of Seville, Spain Khurshid Ahmad, Trinity College Dublin, Ireland Manuel Palomar, University of Alicante, Spain Massimo Poesio, University of Trento, Italy Mijail Kabadjov, EC- Joint Research Centre, Italy Mike Thelwall, University of Wolverhampton, U.K. Mosche Koppel, Bar-Ilan University, Israel Nicoletta Calzolari, CNR Pisa, Italy Paolo Rosso, Polytechnic University of Valencia, Spain Rafael Mun?oz, University of Alicante, Spain Ralf Steinberger, EC- Joint Research Centre, Italy Veronique Hoste, University of Ghent, Belgium Veselyn Stoyanov, Cornell University, U.S.A Viktor Pekar, University of Wolverhampton, U.K. Zornitsa Kozareva, Information Sciences Institute California, U.S.A.

*Invited speaker* Prof. Michael Thelwall, University of Wolverhampton

*Contact* Andre?s Montoyo -- montoyo at dlsi.ua.es Patricio Marti?nez-Barco -- patricio at dlsi.ua.es Alexandra Balahur - abalahur at dlsi.ua.es Ester Boldrini - eboldrini at dlsi.ua.es

*Sumissions* Submissions for WASSA 2010 must not exceed eight (8) pages in camera- ready format. Over-length submissions will be rejected without review. Papers for WASSA should be submitted using the ECAI formatting style; details of the style are available at: http://www.ecai2010.appia.pt/images/documents/ecai2010-style.zip This file unpacks to a directory "ecai2010", and contains LaTeX and other style files. The file "ecai2010.tex" is an example paper in LaTeX format using the appropriate styles, and can be used as a template for WASSA submissions. Each accepted paper will be allocated eight (8) pages in the proceedings. WASSA 2010 also accepts posters. Each poster will have four (4) pages allocated in the proceedings. Posters must follow the same formatting guidelines as full papers. Authors may indicate whether they want a submitted full paper to be considered as well as a submitted poster in case of non- acceptance of the full paper.

Reviewing for WASSA 2010 will be blind: reviewers will not be presented with the identity of paper authors. To allow for blind review, author names in a submitted paper or poster should be replaced by the unique tracking number assigned by the conference website at the submission of an electronic abstract. Authors should avoid writing anything that makes their identity obvious in the text. Submissions should be original, and in particular should not previously have been formally published. (Any publication venue with an ISBN or ISSN number counts as a formal publication; this includes LNCS/LNAI volumes, for example.) Accepted papers will be published in the ECAI informal proceedings, as well as a CD with ISBN. The best papers will be chosen for a special issue of an ISI- indexed journal (more to be announced).

To submit a paper, please access: http://www.easychair.org/conferences/?conf=wassa2010

*Important dates:* Paper submission:May 7, 2010 Notification to authors:June 7, 2010 Camera-ready papers:June 17, 2010 Workshop:August 16, 2010 -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 7147 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20100427/c7a055d7/attachment.txt>



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