Conf: 5th Workshop WASSA 2014 at ACL 2014, Baltimore, June 27, 2014

Fri May 30 19:06:20 UTC 2014

Date: Wed, 28 May 2014 11:23:12 +0200
From: Alexandra Balahur Dobrescu <alexandra.balahur-dobrescu at jrc.ec.europa.eu>
Message-id: <5385AB00.50309 at jrc.ec.europa.eu>
X-url: http://optima.jrc.it/wassa2014/

Subject: [Call for Participation]  5th Workshop on Computational Approaches to
 Subjectivity, Sentiment and Social Media Analysis (WASSA 2014) @ACL 2014
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5th Workshop on Computational Approaches to Subjectivity, Sentiment and 
Social Media Analysis (WASSA 2014) - http://optima.jrc.it/wassa2014/
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Held in conjunction to ACL 2014, on June 27, 2014, in Baltimore 
(Maryland), USA
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Endorsed by SIGSEM and SIGNLL
*******************************************************

*******************************************************
BACKGROUND
*******************************************************

Research in automatic Subjectivity and Sentiment Analysis (SSA), as
subtasks of Affective Computing and Natural Language Processing (NLP),
has flourished in the past years. The growth in interest in these tasks
was motivated by the birth and rapid expansion of the Social Web that
made it possible for people all over the world to share, comment or
consult content on any given topic. In this context, opinions,
sentiments and emotions expressed in Social Media texts have been shown
to have a high influence on the social and economic behaviour worldwide.
SSA systems are highly relevant to many real-world applications (e.g.
marketing, eGovernance, business intelligent, social analysis) and also
to many tasks in Natural Language Processing (NLP) – information
extraction, question answering, textual entailment, to name just a few.
The importance of this field has been proven by the high number of
approaches proposed in research in the past decade, as well as by the
interest that it raised from other disciplines (Economics, Sociology,
Psychology) and the applications that were created using its technology.
In spite of the growing body of research in the area in the past years,
dealing with affective phenomena in text has proven to be a complex,
interdisciplinary problem that remains far from being solved. Its
challenges include the need to address the issue from different
perspectives and at different levels, depending on the characteristics
of the textual genre, the language(s) treated and the final application
for which the analysis is done.

*******************************************************
ENVISAGED SCOPE OF WASSA 2014
*******************************************************

The aim of the 5th Workshop on Computational Approaches to Subjectivity,
Sentiment and Social Media Analysis (WASSA 2014) is to continue the line
of the previous editions, bringing together researchers in Computational
Linguistics working on Subjectivity and Sentiment Analysis and
researchers working on interdisciplinary aspects of affect computation
from text. Additionally, starting with WASSA 2013, we extended the focus
to Social Media phenomena and the impact of affect-related phenomena in
this context. In this new proposed edition, we would like to encourage
the submission of long and short research and demo papers including, but
not restricted to the following topics related to subjectivity and
sentiment analysis:

- Resources for subjectivity, sentiment and social media analysis;
  (semi-)automatic corpora generation and annotation
- Opinion retrieval, extraction, categorization, aggregation and
  summarization
- Trend detection in social media using subjectivity and sentiment
  analysis techniques
- Data linking through social networks based on affect-related NLP
  methods
- Impact of affective data from social media
- Mass opinion estimation based on NLP and statistical models
- Online reputation management
- Topic and sentiment studies and applications of topic-sentiment
  analysis
- Domain, topic and genre dependency of sentiment analysis
- Ambiguity issues and word sense disambiguation of subjective language
- Pragmatic analysis of the opinion mining task
- Use of Semantic Web technologies for subjectivity and sentiment
  analysis
- Improvement of NLP tasks using subjectivity and/or sentiment analysis
- Intrinsic and extrinsic evaluations subjectivity and sentiment
  analysis
- Subjectivity, sentiment and emotion detection in social networks
- Classification of stance in dialogues
- Applications of sentiment and social media analysis systems

*****************************************************
INVITED SPEAKERS
*****************************************************
Dr. Saif Mohammad - National Research Council Canada - "Words: 
Evaluative, Emotional, Colorful, Musical!"

Dr. Myle Ott - Facebook - "Linguistic Models of Deceptive Opinion Spam"

*****************************************************
PROGRAM
*****************************************************

The program of the workshop is available from: 
http://optima.jrc.it/wassa2014/cfp/program.pdf

*******************************************************
ORGANIZERS
*******************************************************

Alexandra Balahur
European Commission Joint Research Centre
Via E. Fermi 2749, T.P. 267, 21027 Ispra (VA), Italy
alexandra.balahur at jrc.ec.europa.eu

Erik van der Goot
European Commission Joint Research Centre
Via E. Fermi 2749, T.P. 267, 21027 Ispra (VA), Italy
Erik.van-der-Goot at jrc.ec.europa.eu

Ralf Steinberger
European Commission Joint Research Centre
Via E. Fermi 2749, T.P. 267, 21027 Ispra (VA), Italy
Ralf.Steinberger at jrc.ec.europa.eu

Andrés Montoyo
University of Alicante, DLSI, Ap. De Correos 99, 03080 Alicante, Spain
montoyo at dlsi.ua.es

*******************************************************
PROGRAM COMMITTEE
*******************************************************

* Nicoletta Calzolari - CNR Pisa, Italy

* Erik Cambria - University of Stirling, U.K.

* Fermin Cruz Mata - University of Seville, Spain

* Montse Cuadros - Vicomtech, Spain

* Leon Derczynski - University of Sheffield, U.K.

* Michael Gamon - Microsoft

* Veronique Hoste - University of Ghent, Belgium

* Ruben Izquierdo Bevia - Vrije Universiteit Amsterdam, The Netherlands

* Isa Maks - Vrije Universiteit Amsterdam, The Netherlands

* Diana Maynard - University of Sheffield, U.K.

* Rada Mihalcea - University of North Texas, U.S.A.

* Saif Mohammad - National Research Council, Canada

* Karo Moilanen - University of Oxford, U.K.

* Günter Neumann - DFKI, Germany

* Constantin Orasan - University of Wolverhampton, U.K.

* Viktor Pekar - University of Wolverhampton, U.K.

* Jose-Manuel Perea-Ortega - European Commission Joint Research Centre,
  Italy

* Paolo Rosso - Technical University of Valencia, Spain

* Josef Steinberger - West Bohemia University Prague, The Czech Republic

* Mike Thelwall - University of Wolverhampton, U.K.

* Dan Tufis - RACAI, Romania

* Alfonso Ureña - University of Jaén, Spain

* Janyce Wiebe - University of Pittsburgh, U.S.A.

* Michael Wiegand - Saarland University, Germany

* Taras Zagibalov - Brantwatch, U.K.

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