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IPM-ESSEM 2015 : IP&M Special Issue on Emotion and Sentiment in Social and Expressive Media


When N/A
Where N/A
Submission Deadline Apr 30, 2014
Notification Due Jul 31, 2014
Final Version Due Mar 31, 2015
Categories    NLP   information retrieval

Call For Papers

[Apologies for multiple postings]


Special Issue on
Emotion and Sentiment in Social and Expressive Media


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 exploration 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 (


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 process:

Related Resources

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PEOPLES 2016   CfP: COLING 2016 Workshop PEOPLES: Computational Modeling of People's Opinions, Personality, and Emotions in Social Media
ACL 2017   The 55th annual meeting of the Association for Computational Linguistics
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EACL SRW 2017   EACL 2017 Student Research Workshop