EACL 2012 Workshop on
Semantic Analysis in
April 23, 2012, Avignon, France
Hosted in conjunction with EACL 2012
New!!! Details abou the invited talk of Julien Velcin, University Lyon 2. Details about the keynote talk of Atefeh Farzindar, NLP Technologies.
New!!! Workshop program
New!!! List of accepted papers
Call for papers (submission is now closed)
Semantic analysis in social networks (SN) is important for applications such as understanding and enabling social networks, natural language interfaces and human behaviour on the web, e-learning environments, cyber communities and educational or online shared workspaces. These aspects are also important in security, privacy & identity, opinion mining, sentiment analysis, and in the larger area of affective computing.
This workshop will provide a forum for discussion between leading names and researchers involved in text analysis and social networks in the context of natural language understanding, natural language generation, automatic categorization, topic detection, emotion analysis, and applications using computational approaches to process social networks. Besides methodologies and techniques for SN analysis, we also encourage the submission of papers that experiment with and describe applicative contexts in which analysis and detection of affective aspects are useful and beneficial.
- semantic analysis in sentences and web content from social networks
- classification of texts by emotion and mood from SN
- sociology of emotions and influence on inter-personal communications
- topic detection and clustering in SN
- SN analysis across different languages
- SN analysis from multimedia (text, speech, video)
- security and privacy issues in SNs
- automatic summarization from multiple sources and multiple languages
- analysis of sentiment and opinion in SN
- information extraction and indexing
- applications in which affective aspects are beneficial
- tools and resources for accessing, representing, and managing social network data in natural language processing frameworks (e.g., GATE, UIMA)
- other aspects of the computational treatment of SN and affect.
We would like to invite researchers to submit their original and unpublished work to the workshop. Demos of working or under development systems are encouraged. We hope to cover three main perspectives: government (e.g., security and criminology), industry (e.g., marketing), and academic (e.g., theoretical research related to SNs).
Deadline for submission: January 30, 2012, extended to Feb 5, 2012
Notification of acceptance: February 24, 2012
Revised version of papers: March 9, 2012
Workshop: April 23, 2012
Authors are invited to submit full papers on original, unpublished work in the topic area of this workshop. Submissions should be formatted using the EACL 2012 stylefiles for latex or MS Word, with blind review and not exceeding 8 pages plus an extra page for references.
The PDF files will be submitted electronically at https://www.softconf.com/eacl2012/SASN2012/
Each submission will be reviewed at least by two members of the programme committee. Accepted papers will be published in the workshop proceedings.
Atefeh Farzindar (NLP Technologies Inc. and Université de Montréal Canada)
Diana Inkpen (University of Ottawa, Canada)
Colin Cherry (National Research Council, Canada)
Viola Ganter (HITS gGmbH, Heidelberg, Germany)
Mitsuru Ishizuka (University of Tokyo, Japan)
Fazel Keshtkar (University of Memphis)
Wael Khreich (NLP Technologies Inc, Canada)
Guy Lapalme (Université de Montréal, Canada)
Eduarda Mendes Rodrigues (University of Porto, Portugal)
Alena Neviarouskaya (Toyohashi University of Technology, Japan)
Alexander Osherenko (Socioware Development, Germany)
Victoria Rubin (University of Western Ontario, Canada)
Carlo Strapparava (FBK-IRST, Povo-Trento, Italy)
Mike Thelwall (University of Wolverhampton, UK)
Alessandro Valitutti (University of Helsinki, Finland)
Simone Teufel (Cambridge University, UK)
René Witte (Concordia University, Canada)
Atefeh Farzindar firstname.lastname@example.org
Diana Inkpen email@example.com