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<br>
<br>
5th Workshop on Computational Approaches to Subjectivity,
Sentiment and Social Media Analysis (WASSA 2014)<br>
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<a moz-do-not-send="true" class="moz-txt-link-freetext"
href="http://optima.jrc.it/wassa2014/">http://optima.jrc.it/wassa2014/</a><br>
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BACKGROUND<br>
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<br>
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. <br>
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. <br>
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.<br>
<br>
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ENVISAGED SCOPE OF WASSA 2014<br>
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<br>
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:
<br>
• Resources for subjectivity, sentiment and social media
analysis; (semi-)automatic corpora generation and annotation<br>
• Opinion retrieval, extraction, categorization, aggregation
and summarization<br>
• Trend detection in social media using subjectivity and
sentiment analysis techniques<br>
• Data linking through social networks based on
affect-related NLP methods<br>
• Impact of affective data from social media<br>
• Mass opinion estimation based on NLP and statistical models<br>
• Online reputation management<br>
• Topic and sentiment studies and applications of
topic-sentiment analysis<br>
• Domain, topic and genre dependency of sentiment analysis<br>
• Ambiguity issues and word sense disambiguation of
subjective language<br>
• Pragmatic analysis of the opinion mining task<br>
• Use of Semantic Web technologies for subjectivity and
sentiment analysis<br>
• Improvement of NLP tasks using subjectivity and/or
sentiment analysis<br>
• Intrinsic and extrinsic evaluations subjectivity and
sentiment analysis <br>
• Subjectivity, sentiment and emotion detection in social
networks <br>
• Classification of stance in dialogues<br>
• Applications of sentiment and social media analysis systems<br>
<br>
<br>
In addition, in the light of the fact that different sentiment
analysis systems have been proposed and showcased in the past
years, <br>
we feel there is a growing need to make users familiar with
these systems and have them employed for building an end
application. <br>
To this aim, we would like to organize a “Hackathon” (please see
details below).<br>
<br>
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SENTIMENT ANALYSIS SYSTEMS HACKATHON<br>
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<br>
In the light of the fact that different sentiment analysis
systems have been proposed and showcased in the past years, we
feel there is a growing need to make other researchers and users
familiar with these systems and have them employ them for
building an end application. <br>
The Hackathon word stands for “Hacking Marathon”, and its
purpose is to introduce some.<br>
The activity will be open to all the people who will sign up for
the workshop. <br>
We plan to organize a half a day session, in the first half
presenting the participating systems and their use and creating
teams for “application” development and leaving the second half
of the day for working on the systems and presenting the
results. We plan to give the participants the possibility to
vote on the best application created and reward the winner with
a gadget. <br>
<br>
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ORGANIZERS<br>
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<br>
Alexandra Balahur<br>
European Commission Joint Research Centre <br>
Via E. Fermi 2749, T.P. 267, 21027 Ispra (VA), Italy<br>
<a moz-do-not-send="true" class="moz-txt-link-abbreviated"
href="mailto:alexandra.balahur@jrc.ec.europa.eu">alexandra.balahur@jrc.ec.europa.eu</a>
<br>
<br>
Erik van der Goot<br>
European Commission Joint Research Centre <br>
Via E. Fermi 2749, T.P. 267, 21027 Ispra (VA), Italy<br>
<a moz-do-not-send="true" class="moz-txt-link-abbreviated"
href="mailto:Erik.van-der-Goot@jrc.ec.europa.eu">Erik.van-der-Goot@jrc.ec.europa.eu</a><br>
<br>
Ralf Steinberger<br>
European Commission Joint Research Centre <br>
Via E. Fermi 2749, T.P. 267, 21027 Ispra (VA), Italy<br>
<a moz-do-not-send="true" class="moz-txt-link-abbreviated"
href="mailto:Ralf.Steinberger@jrc.ec.europa.eu">Ralf.Steinberger@jrc.ec.europa.eu</a><br>
<br>
Andrés Montoyo<br>
University of Alicante, DLSI, Ap. De Correos 99, 03080
Alicante, Spain<br>
<a moz-do-not-send="true" class="moz-txt-link-abbreviated"
href="mailto:montoyo@dlsi.ua.es">montoyo@dlsi.ua.es</a> <br>
<br>
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PROGRAM COMMITTEE <br>
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<br>
• Khurshid Ahmad – Trinity College Dublin, Ireland<br>
• Nicoletta Calzolari - CNR Pisa, Italy<br>
• Erik Cambria – University of Stirling, U.K.<br>
• José Carlos Cortizo - European University Madrid, Spain<br>
• Michael Gamon – Microsoft, U.S.A. <br>
• Jesús M. Hermida - University of Alicante, Spain<br>
• Veronique Hoste - University of Ghent, Belgium<br>
• Mijail Kabadjov – University of Wolverhampton, U.K.<br>
• Zornitsa Kozareva - Information Sciences Institute
California, U.S.A.<br>
• Rada Mihalcea - University of North Texas, U.S.A.<br>
• Saif Mohammad - National Research Council, Canada<br>
• Karo Moilanen – Google<br>
• Rafael Muñoz - University of Alicante, Spain<br>
• Günter Neumann - DFKI, Germany<br>
• Alena Neviarouskaia – University of Tokyo, Japan<br>
• Constantin Orasan - University of Wolverhampton, U.K.<br>
• Viktor Pekar - University of Wolverhampton, U.K.<br>
• Paolo Rosso - Polytechnic University of Valencia, Spain<br>
• Josef Steinberger – EC- Joint Research Centre, Italy<br>
• Ralf Steinberger - EC- Joint Research Centre, Italy<br>
• Veselin Stoyanov – John Hopkins University, U.S.A.<br>
• Maite Taboada - Simon Fraser University, Canada<br>
• Mike Thelwall - University of Wolverhampton, U.K.<br>
• José Antonio Troyano - University of Seville, Spain<br>
• Dan Tufis - RACAI, Romania<br>
• Alfonso Ureña – University of Jaén, Spain<br>
• Piek Vossen - Vrije Universiteit Amsterdam, The Netherlands<br>
• Marilyn Walker - University of California Santa Cruz,
U.S.A.<br>
• Janyce Wiebe - University of Pittsburgh, U.S.A.<br>
• Michael Wiegand – Saarland University, Germany<br>
• Theresa Wilson – John Hopkins University, U.S.A.<br>
• Taras Zagibalov - Brantwatch, U.K.<br>
<br>
<br>
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IMPORTANT DATES<br>
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<br>
- Paper submission deadline: March 21, 2014<br>
- Notification of acceptance: April 11, 2014<br>
- Camera-ready deadline: April 29, 2014<br>
- Workshop to take part at ACL 2014: June 27, 2014<br>
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SUBMISSIONS<br>
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<br>
We encourage the submission of long, short and demo papers
(especially describing systems participating in the hackathon)<br>
Long papers for WASSA 2014 must not exceed eight (8) pages
without references. Short papers must not exceed five (5) pages
without references. Papers for WASSA should be submitted using
the ACL 2014 Style Files, available at: <br>
Reviewing for WASSA 2014 will be double blind: reviewers will
not be presented with the identity of paper authors. Authors
should avoid writing anything that makes their identity obvious
in the text.<br>
Submissions should be original, and in particular should not
previously have been formally published. <br>
Accepted papers will be published in the ACL WASSA proceedings.
The best papers will be chosen for a special issue of an ISI-
indexed journal. Previous special issues of WASSA were/are in
the process of being published in the Decision Support Systems,
Computer Speech and Language and Information Processing and
Management journals (Elsevier).<br>
To submit a paper, please access: <a moz-do-not-send="true"
class="moz-txt-link-freetext"
href="https://www.softconf.com/acl2014/WASSA/">https://www.softconf.com/acl2014/WASSA/</a><br>
<br>
<br>
<br>
<div class="moz-signature">-- <br>
<b><i>Alexandra Balahur, PhD </i></b><br>
Scientific/Technical Project Officer<br>
<br>
European Commission Joint Research Centre<br>
Institute for the Protection and Security of the Citizen<br>
GlobeSec, OPTIMA<br>
Via E. Fermi 2749, 21027 Ispra (VA), Italy<br>
Tel.: 0039 0332 78 5808<br>
<br>
<i>Disclaimer: "The views expressed are solely of the writer
and may in no case be seen as stating an official position
of the European Commission."</i><br>
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