[Humanist] 27.1004 pubs: cfp for issue on emotion & sentiment in social media

Humanist Discussion Group willard.mccarty at mccarty.org.uk
Mon Apr 28 07:21:26 CEST 2014

                 Humanist Discussion Group, Vol. 27, No. 1004.
            Department of Digital Humanities, King's College London
                Submit to: humanist at lists.digitalhumanities.org

        Date: Sun, 27 Apr 2014 11:25:34 -0400
        From: Mark Finlayson <markaf at MIT.EDU>
        Subject: CFP for Special Issue on Emotion and Sentiment in Social and Expressive Media

A CFP relevant to the Humanist list:

 > Special Issue on
 > Emotion and Sentiment in Social and Expressive Media
 > http://sentic.net/essem/
 > ------------------------------------
 > Submission Deadline: 30th April 2014
 > (Deadline Approaching!)
 > ------------------------------------
 > Although sentiment analysis and emotion detection have been trending 
topics since a while, not enough emphasis has been placed so far on 
social and expressive media. The latter, in particular, play a key role 
in applicative fields related to creativity, its expressions and 
outcomes, such as figurative arts, music or drama. In such fields, the 
advent of digital social media has brought about new paradigms of 
interactions that foster first-person engagement and crowdsourcing 
content creation: the subjective and expressive dimensions move to the 
foreground, opening the way to the emergence of an affective component 
within a dynamic corpus of contents - created or enriched by users.
 > Social and expressive media generate -in a continuous loop of 
interaction between online environments and the community of users- a 
corpus of digitized contents (e.g. text, images, sounds). New contents 
are added to the Web by its users every day, in an orthogonal way with 
respect to the new/old media distinction, with new formats relying on 
traditional media like text (fan generated fictions, tweets, reviews) 
and established expressive forms being delivered through new media 
(amateur video clips, podcasts, pictures). This calls for delving into 
the evolution of approaches, techniques and tools for automatic 
processing, indexing and retrieval of the affective and subjective 
information conveyed by those media.
 > In order to bring advancements in automatic processing of such 
information, a key role can be played by cognitive models of emotions. 
Suitable affective and emotional models, which underlie the expressive 
aims of those media, need to be defined and integrated into traditional 
techniques of analysis and information processing. Generation and 
manipulation of produced contents (for distribution, categorization, 
browsing, visualization etc.) need to encompass a model of their 
affective qualities (and of their reception by the users), especially 
when the practical goal of assembling and delivering to the users 
contents in a personalized way is pursued. Moreover, the focus on 
multimedia contents asks for the development of new techniques of 
automatic extraction and classification of affective information where 
both textual and extra-linguistic features can be exploited. 
Affective-based visualization techniques may also support the 
development of novel tools for the analysis and exp
 > loration of multimedia information.
 > We invite high-quality submissions that address the topic of Emotion 
and Sentiment in Social and Expressive Media under different 
perspectives. We encourage the submission of papers from related areas, 
such as natural language processing, information retrieval, semantic 
web, affective computing, and interactive multimodal systems. The 
multidisciplinary approach will extend the possibility of cross-validation.
 > We especially welcome papers facing the following challenges:
 > - detecting emotion and sentiment in social media and in fields 
related to creativity, its expressions and its outcomes (e.g. figurative 
arts, music, drama);
 > - automatic processing, indexing and retrieval of the affective 
information in social and expressive media based on structured knowledge 
of affective information, e.g. affective categorization models expressed 
by ontologies, better still if psychologically motivated;
 > - visualization of emotion and sentiment in social and expressive 
media in order to enhance navigation and access to information and 
multimedia contents;
 > - fostering the interoperability and integration of tools by 
encouraging compliance with emerging standards, which enable semantic 
metadata processing.
 > - sentiment-based indexing, search and retrieval in social & 
expressive media
 > - subjectivity, sentiment and emotion detection in social & 
expressive media
 > - social & expressive media corpora and annotations
 > - creative language (humor, irony, metaphor, etc.) in social & 
expressive media
 > - concept-level sentiment analysis
 > - sentiment and emotion summarization & visualization
 > - emotion modeling and ontologies
 > - emotions in multimedia and multimodal systems
 > - emotions in sounds and music computing
 > - emotions in interactive entertainment
 > - emotions in storytelling
 > - emotions in cultural heritage access
 > - semantic web technologies for subjectivity & sentiment analysis
 > - knowledge representation and reasoning about emotions
 > Submission Deadline: 30th April 2014
 > First Review: 31st July 2014
 > Revisions Due: 31st October 2014
 > Final Decision: 31st January 2015
 > Final Manuscript Due: 31st March 2015
 > Tentative Publication Date: 2015
 > Paolo Rosso, Universitat Politècnica de València, Spain
 > Cristina Bosco, Università degli Studi di Torino, Italy
 > Erik Cambria, National University of Singapore, Singapore
 > Rossana Damiano, Università degli Studi di Torino, Italy
 > Viviana Patti, Università degli Studi di Torino, Italy
 > Author guidelines for preparation of manuscript can be found at:
 > For more information, please contact: Paolo Rosso (prosso at dsic.upv.es).
 > Contributions should be submitted via the journal online submission 
system available through the journal homepage (not earlier than 15th 
March 2014),
 > selecting SI:ESSEM when at the Article Type step in the submission 
 > http://ees.elsevier.com/ipm/login_action.asp

Mark A. Finlayson
Research Scientist, MIT CSAIL
32 Vassar St. Room 32-258, Cambridge, MA 02139 USA
+1.617.253.0287 (office); +1.617.515.0708 (mobile); markaf at mit.edu

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