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AffCon 2018 : (UPDATED) AAAI Workshop on Affective Content Analysis


When Feb 2, 2018 - Feb 3, 2018
Where New Orleans, USA
Abstract Registration Due Oct 20, 2017
Submission Deadline Oct 30, 2017
Notification Due Nov 9, 2017
Final Version Due Nov 21, 2017
Categories    computational linguistics   affective computing   sentiment analysis   consumer behavior

Call For Papers

AffCon 2018 : The AAAI Workshop on Affective Content Analysis

Affect analysis refers to the set of techniques which identify and measure the ‘experience of an emotion’. This workshop focuses on analyzing affect in content including text, audio, images, and videos. All methods and models that measure affective responses to content are in the scope of the workshop.

We invite submissions on topics including - but not limited to - text and multimedia, multilingual analysis and understanding of affective content, applications of affect–based language processing, spoken vs. written language comparison, and analysis of online text content: both user generated and planned marketing communication. Specific examples of fields of interests include (but are not limited to):

- Affect modeling in content
- Computational models for consumer behavior theories
- Psycho-linguistics, including stylometrics and typography
- Affect-aware text generation
- Spoken and formal language comparison
- Psycho-demographic profiling
- Measurement and evaluation of affective content
- Modeling consumer’s affect reactions
- Affect lexica for online marketing communication
- Affective commonsense reasoning
- Affective human-agent, -computer, and-robot interaction
- Multimodal emotion recognition and sentiment analysis

We especially invite papers investigating multiple related themes, industry papers, and descriptions of running projects and ongoing work.

One big goal of this workshop is to get a multidisciplinary community together through this meeting. We invite pre-published/in-press work as a part of a short presentation and poster session to encourage discussions and introductions across communities. These submissions will not be re-published but a few selected papers will be accepted for posters and short presentations.

We also invite dataset papers which describe new data resources . Dataset paper submissions must comprise:

- The data itself -- organized as a single dataset or a group of datasets, and
- Metadata which describes data collection and processing methods, documentation of the structure and descriptive statistics about the content and quality of the dataset.
- Authors should describe potential uses and applications of the dataset, but any sophisticated analysis can be a regular paper submission.

Submissions should be made via EasyChair and must follow the formatting guidelines for AAAI-2018 (use the AAAI Author Kit). All submissions must be anonymous and conform to AAAI standards for double-blind review.

Workshop URL:
Submission Site:

Important Dates:
October 20, 2017: Abstract Submission (Optional)
October 30, 2017: Submission deadline. Submissions via EasyChair.
November 9, 2017: Notification of acceptance/rejection
November 21, 2017: Camera-ready versions due
December 8, 2017: Early registration deadline
February 2-3, 2018: Workshop at AAAI 2018

Related Resources

AAAI 2020   The Thirty-Fourth AAAI Conference on Artificial Intelligence
NAACL-HLT 2021   2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics
AffCon 2020   AAAI-20 Workshop on Affective Content Analysis
Linguistics Colloquium 2020   56th Linguistics Colloquium
AAAI 2021   35th AAAI Conference on Artificial Intelligence
NYAS NDS 2020   New York Academy of Sciences NLP, Dialog and Speech Symposium
AAAI-SPACA 2021   AAAI 2021 Spring Symposium on Survival Prediction: Algorithms, Challenges and Applications
EmotionAware 2021   5th International Workshop on Emotion Awareness for Pervasive Computing - Beyond traditional approaches
MMM 2021   International Conference on Multimedia Modeling
AAAI-MAKE 2020   AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice