The Emotion and Sentiment Analysis workshop is the sixth edition of the highly successful series of Corpora for Research on Emotion. As its predecessors, the aim of this workshop is to  connect the related fields around sentiment, emotion and social signals, exploring the state of the art in applications and resources. All this, with a special interest on multidisciplinarity, multilingualism and multimodality.

This year's edition will again also put an emphasis on common models and formats, as a standardization process would foster the creation of interoperable resources. In particular, researchers are encouraged to share their experience with Linked Data representation of emotions and sentiment and present any initiatives to go beyond the state of the art. Beyond data modelling, the workshop will deal with harnessing Linked Open Data in every application: from data collection and sharing to data analysis.

Approaches on semi-automated and collaborative labeling of large data archives will also be of interest, such as by efficient combinations of active learning and crowdsourcing. In particular also for combined annotations of emotion, sentiment, and social signals. Multi- and cross-corpus studies (transfer learning, standardisation, corpus quality assessment, etc.) are further highly relevant, given their importance in order to test the generalisation power of models.

Topics include, but are not limited to:

  • Multimodality and the influence of modality in both expression and analysis
  • Multilingual applications and resources
  • The influence of language and culture in the interpretation of emotion
  • The perception and annotation mixtures of affective states
  • The role of context in emotion and sentiment analysis
  • The study of emotions and demographics (emotions and age, gender, personality)
  • Big data for training and analysis
  • Models for annotation and representation
  • Emotions in Social Media
  • Real-life applications of language and multimodal resources
  • Novel corpora of affective speech in audio and multimodal data
  • Novel corpora of written language and multimodal data for sentiment and trait analysis
  • Resources for emotional and personality profiles
  • Resources and analysis of social emotions (embarrassment, guilt, shame, pride, etc.), figurative languages (irony, metaphor, parody, sarcasm, satire, etc.) and social signals (consents, laughs, sighs, hesitations, etc.)
  • Resources for underrepresented languages and cultures
  • Resources for emotional and personality profiles
  • Multi- and cross-corpus studies (transfer learning, standardisation, corpus quality assessment, etc.)
  • New methods for community or distributed annotation (crowd-sourcing, mixed crowd/expert, etc.)


  • Submissions: February 15, 2016
  • Notification of acceptance: March 10th,  2016
  • Camera-ready version: March 25th, 2016
  • Workshop: May 23rd, 2016


Submitted abstracts of papers for oral and poster must consist of about 1500 – 2000 words. Final submissions must follow the submission guidelines at LREC 2016:

  • Regular papers (8 pages)
  • Short papers (4 pages)
  • Demo papers (2-4 pages)

All submissions will be done via a START page, which will be available in the upcoming weeks. When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research.

Moreover, ELRA encourages all LREC authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones)


J. Fernando Sánchez-Rada - UPM, Spain
Carlos A. Iglesias - UPM, Spain
Björn Schuller - Imperial College London, UK
Gabriela Vulcu - Insight/NUIG, Ireland
Paul Buitelaar - Insight/NUIG, Ireland
Laurence Devillers - LIMSI, France


Rodrigo Agerri - EHU, Spain
Alexandra Balahur-Dobrescu - ISPRA, Italy
Cristina Bosco - U. Torino, Italy
Felix Burkhardt - Deutsche Telekom, Germany
Antonio Camurri - U. Genova, Italy
Montse Cuadros - VicomTech, Spain
Francesca Frontini - CNR, Italy
Carlos Iglesias - UPM, Spain
Viviana Patti - U. Torino, Italy
Albert Ali Salah - Boğaziçi University, Turkey
Jianhua Tao - CAS, P.R. China
Michel Valstar - U. Nottingham, UK
Sapna Negi - Insight Centre for Data Analytics at NUIG, Ireland
Ian Wood - Insight Centre for Data Analytics at NUIG, Ireland
Diana Maynard - University of Sheffield, UK