Call for Papers: 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
WASSA 2022 workshop co-located with ACL 2022 in Dublin, Ireland.
Main Conference: May 23-25, 2022
Workshop: May 26, 2022
***Paper Submission Deadline: February 28, 2022***
Background and envisaged scope
Starting with reviews on products on e-commerce sites and ending with the emotional effect present in or intended by media coverage, research in automatic Subjectivity and Sentiment Analysis as well as explicit and implicit Emotion Detection and Classification has flourished in the past years. The importance of the field has been proven by the high number of approaches proposed in research in the past decade, as well as by the interest it generated in other disciplines, such as Economics, Sociology, Psychology, Marketing, Crisis Management & Digital Humanities.
Topics of interest
Building on previous editions, the aim of WASSA 2022 is to bring together researchers working on Subjectivity, Sentiment Analysis, Emotion Detection and Classification and their applications to other NLP or real-world tasks (e.g. public health messaging, fake news, media impact analysis, social media mining, computational literary studies) and researchers working on interdisciplinary aspects of affect computation from text. For this edition, we encourage the submission of long and short research and demo papers including, but not restricted to the following topics:
- Public sentiments and communication patterns of public health emergencies, e.g. COVID-19.
- Resources for subjectivity, sentiment, emotion and social media analysis
- Opinion retrieval, extraction, categorization, aggregation and summarization
- Humor, Irony and Sarcasm detection
- Mis- and disinformation analysis and the role of affective attributes
- Aspect and topic-based sentiment and emotion analysis
- Analysis of stable traits of social media users, incl. personality analysis and profiling
- Transfer learning for domain, language and genre portability of sentiment analysis
- Modelling commonsense knowledge for subjectivity, sentiment or emotion analysis
- Improvement of NLP tasks using subjectivity and/or sentiment analysis
- Intrinsic and extrinsic evaluation of subjectivity and/or sentiment analysis
- The role of emotions in argument mining
- Application of theories from other related fields to subjectivity and sentiment analysis
- Multimodal emotion detection and classification
- Applications of sentiment and emotion mining
Submissions
At WASSA 2022, we will accept three types of submissions. For the regular research track we accept long & short papers:
(i) Long papers may consist of up to eight (8) pages of content, with any number of additional pages of references, and will be presented orally.
(ii) Short papers may consist of up to four (4) pages of content, with two (2) additional pages of references, and will be presented either orally or as a poster.
New this year is that we also introduce an industry track, for which we accept demo papers:
(iii) Demo papers describe system demonstrations, ranging from early prototypes to mature production-ready systems. These papers may consist of up to six (6) pages of content, will be presented as a poster and should include a live demonstration.
All submissions must conform to the specifications of the ACL 2022 call for papers regarding multiple submissions and preparing papers for the double-blind review process (https://www.2022.aclweb.org/callpapers). Demo papers must adhere to the the ACL 2022 call for demos (https://www.2022.aclweb.org/calldemos).
Paper submissions must use the official ACL 2022 style templates (https://aclrollingreview.org/cfp). All submissions must be in PDF format and must conform to the official style guidelines, which are contained in these template files.
Papers belonging to the research track can be submitted by:
- Following the procedure and timeline for ACL Rolling Review (https://aclrollingreview.org/cfp) the commitment deadline for the WASSA workshop will be 22nd March 2022. This means that papers which went into review at ARR on the 15th of February could still make it into WASSA.
- Submitting a long or short paper by February 28 to WASSA’s page on OpenReview: https://openreview.net/group?id=aclweb.org/ACL/2022/Workshop/WASSA.
Demo papers can only be submitted through the OpenReview system: https://openreview.net/group?id=aclweb.org/ACL/2022/Workshop/WASSA.
Important dates
Submission deadline: February 28, 2022
Notification: March 26, 2022
Camera-ready deadline: April 10, 2022
Workshop date: To be confirmed (May 26-28, 2022)
All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth").
Sponsoring WASSA 2022
We are hoping to identify sponsors who might be willing to contribute $100 (Bronze), $250 (Silver) or $500 (Gold sponsorship) to subsidize some of the workshop costs. These costs include helping students to attend the workshop, pay for their registration fee for the workshop or cover transportation costs of invited speakers (in case the workshop runs offline). Perks of sponsorship include logos on the workshop website and in the proceedings. If you would like to sponsor WASSA, please send us an email at wassa2022@googlegroups.com.
Shared task
Also this year a shared task will be organised, please keep a close eye on the WASSA 2022 website for all information and details: https://wassa-workshop.github.io/
Organizers
*** To contact the organizers, please email us at: wassa2022@googlegroups.com ***
- Jeremy Barnes, IXA NLP group, University of the Basque Country UPV/EHU.
- Orphée De Clercq, LT3 Language and Translation Technology Team, Ghent University.
- Valentin Barriere, European Commission Joint Research Centre, Directorate I, Text and Data Mining Unit.
- Shabnam Tafreshi, Applied Research Lab for Intelligence and Security, University of Maryland.
- Sawsan Alqahtani, Amazon Web Services.
- João Sedoc, Technology, Operations, and Statistics department, New York University.
- Roman Klinger, Institute for Natural Language Processing (IMS), University of Stuttgart.
- Alexandra Balahur, European Commission Joint Research Centre, Directorate I, Text and Data Mining Unit.