LREC 2012 Workshop on Language Engineering for Online Reputation Management: 1st CfP

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LREC 2012 Workshop on Language Engineering for Online Reputation Management

=== Call for Papers ===

** deadline: 15 February 2012 **

Online Reputation Management deals with the image that online media 
project about individuals and organizations.  The growing relevance of 
social media and the speed at which facts and opinions travel in 
microblogging networks make online reputation an essential part of a 
company's public relations.

While traditional reputation analysis was based mostly on manual 
analysis (clipping from media, surveys, etc.), the key value from online 
media comes from the ability to process, understand and aggregate 
potentially very large streams of facts and opinions about a company or 
individual. Information to be mined includes answers to questions such 
as: What is the general state of opinion about a company/individual in 
online media?  What are its perceived strengths and weaknesses, as 
compared to its peers/competitors?  How is the company positioned with 
respect to its strategic market?  Can incoming threats to its reputation 
be detected early enough to be neutralized before they effectively 
affect reputation?

In this context, Natural Language Processing plays a key enabling role, 
and we are already witnessing an unprecedented demand for text mining 
software in this area.  While the area of opinion mining has made 
significant advances in the recent years, most tangible progress has 
been focused on products.  However, mining and understanding opinions 
about companies and individuals is, in general, a much harder and less 
understood problem.

The aim of this workshop is to bring together the Language Engineering 
community (including researchers and developers) with representatives 
from the Online Reputation Management industry, with the ultimate goal 
of establishing a five-year roadmap on the topic, and a description of 
the language technologies required to get there in terms of resources, 
algorithms and applications.

With this purpose in mind, the workshop will welcome both research 
papers and position statements from industry and academia.  The agenda 
for the event will include both presentations (from accepted submissions 
and selected invited speakers) and a collaborative discussion to 
determine a roadmap for Language Engineering in Online Reputation 
Management.  The EU project LiMoSINe (starting November 2011) will be 
used as a funding instrument to ensure that participation is 
representative and key players are engaged in the workshop.

We welcome position statements and short papers on any topic relevant to 
the workshop topic, including (but not limited to):

- Topic detection and tracking
- Trend detection and prediction
- Opinion mining and sentiment analysis; negation and modality detection.
- Entity-oriented search and mining: entity ranking, entity profiling, name
   disambiguation, etc.
- Language processing for user-generated content, micro-text understanding,
   and social media analysis.
- Real time language processing

Position statements should include contact details and a short (one 
page) description of the author's take on the (primarily technical) 
challenges to be faced in the Online Reputation Management field in the 
next five years.

Short papers should have a maximum length of four pages, identify the 
authors (reviewing will not be blind) and may describe work in progress. 
Papers that include a comparative assessment of current commercial 
applications and/or research prototypes are particularly welcome.

Submissions should be uploaded here:

https://www.softconf.com/lrec2012/Reputation2012/

Important dates:

15 February: Deadline for position statements and short papers

15 March: Acceptance notifications

1 April: Camera-ready versions

26 May: Workshop at LREC 2012

Workshop Organizers:

Adolfo Corujo (Llorente & Cuenca, Spain)
http://llorenteycuenca.com

Julio Gonzalo (UNED, Spain)
http://nlp.uned.es/~julio

Edgar Meij (University of Amsterdam, The Netherlands)
http://edgar.meij.pro

Maarten de Rijke (University of Amsterdam, The Netherlands)
http://staff.science.uva.nl/~mdr/