Appel: LREC 2012 Workshop on Language Engineering for Online Reputation Management

Thierry Hamon thierry.hamon at UNIV-PARIS13.FR
Tue Jan 3 21:06:13 UTC 2012

Date: Thu, 29 Dec 2011 18:57:00 +0100
From: ELRA ELDA Information <info at>
Message-ID: <4EFCA9EC.7010904 at>

[Apologies for cross-postings]

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:

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)

Julio Gonzalo (UNED, Spain)

Edgar Meij (University of Amsterdam, The Netherlands)

Maarten de Rijke (University of Amsterdam, The Netherlands)

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