The 9th International Workshop on Natural Language Processing for Social Media (SocialNLP) 2021
In conjunction with TheWebConf (WWW) 2021 @ April 19/20, online.
In conjunction with NAACL 2021 @ June 6/7, online.
Website: https://sites.google.com/site/socialnlp2021/
****** Description ******
With the rapid growing of social networks and Web 2.0 services (e.g. Facebook and Twitter), being able to process data come from such platforms has gained much attention in recent years. SocialNLP is an inter-disciplinary area of natural language processing (NLP) and social computing. We consider three plausible directions of SocialNLP: (1) addressing issues in social computing using NLP techniques; (2) solving NLP problems using information from social networks or social media; and (3) handling new problems related to both social computing and natural language processing.
To encourage research in the area of SocialNLP, we have organized a SocialNLP SIG-group in AFNLP since 2012 and made it first a yearly now twice a year based workshop series. The latest SocialNLP workshop website is available at https://sites.google.com/site/socialnlp2021/. Through this workshop, we provide a platform for research outcome presentations and head-to-head discussions in the area of SocialNLP, with the hope to combine the insight and experience of prominent researchers from both NLP and social computing fields to jointly contribute to this area.
****** About SocialNLP 2021 and Challenge ******
We will organize SocialNLP 2021 in conjunction with WWW and NAACL, a twice-a-year workshop as its past versions. In response to the high impact of Covid-19, we also organize the new CovidFake-EmoReact challenge to learn how to model fake news related to Covid-19 via emotion GIFs! We hope this attempt can contribute to the fight against fake news and Covid-19.
****** Topics ******
Topics of interests for the workshop include, but are not limited to:
Content analysis on Social Big Data
- Concept-level sentiment analysis
- Summarization of posts/replies on social media
- Name entity Recognition on Social media
- Relationship extraction on social media
- Entity resolution for social media
- Search, Indexing, and Evaluation on Social Web
- Improving Speech Recognition using Social Media Content
- Multilingual and Language specific Information Retrieval on Social Web
Natural language processing on Web 2.0 Big Data
- Folksonomy and Social Tagging
- Trend analysis on Wikipedia
- Trustworthiness analysis on Wikipedia
- Human computing for social-media corpus generation
- Social structure and position analysis using Microblog content
- Trust and Privacy analysis in social contexts
- Community detection using blogs or Microblog content
Sentiment and Opinion Analysis on Social Media
- Big social data analysis
- Lexical semantic resources, corpora and annotations of social media for sentiment analysis
- Opinion retrieval, extraction, classification, tracking and summarization
- Domain specific sentiment analysis and model adaptation Emotion detection
- Sentiment analysis for automatic public opinion poll and surveys of user satisfaction
- Improvement of NLP tasks using subjectivity and/or sentiment analysis on social platform
- Sentiment analysis and human computer interface on social platform
- Real-world sentiment applications and systems on social platform
Disaster Management Using Social Media Big Data
- Modeling global events or human activities based on social media texts
- Identification and geo-location of social media content
- Social-based web platform for disaster management
- Disaster or disease prediction and forecasting
- Resource allocation using social media
- Monitoring emergency responses among social crowds
- Analyzing the diffusion of emergent information
- Exploiting social media for crisis response and search and rescue activities
- Issues on COVID-19 on social media
Large-Scale Models and Tools Development for SocialNLP
- Biologically-inspired opinion mining
- Social-network motivated methods or tools for natural language processing
- Advanced topic model for social media
- Learning to rank for social media
- Clustering and Classification tools for Social Media
- Content-based and social-based Recommendation
- Multi-lingual machine translation on Microblog
****** Paper Submission ******
SocialNLP review is double-blind. Therefore, please anonymize your submission: do not put the author(s) names or affiliation(s) at the start of the paper, and do not include funding or other acknowl-edgments in papers submitted for review. In addition to regular paper, we also call for DATA PAPER. A data paper should include the details of the created dataset and an experiment illustrating how to use it. Authors should note it as a data paper using the author field and submit at least partial data as accompanied materials. The created dataset should be able to be downloaded or acquired through an application process freely. If the data paper is accepted, we will list the link for accessing the dataset in the SocialNLP website. Note that the review for data papers is also double-blind and it is authors' responsibility to avoid revealing their identities.
Papers submitted to the SocialNLP workshop must not have been accepted for publication elsewhere or be under review for another workshop, conference or journal. Papers should be written in English. Each submission will be evaluated by at least 3 program committee members. Challenge participants should submit their technical report. Technical reports will not be archieved.
****** Submissions Details ******
SocialNLP @ TheWebConf (WWW) 2021
- Page Limit: Regular papers: 8 pages, Data papers: 5 pages (both includes references)
- Submission Deadline: February 8
SocialNLP @ NAACL 2021
- Page Limit: Regular papers: 8 pages, Data papers: 4 pages (both allow additional 2 pages for references)
-Submission Deadline: March 15
****** Organizers ******
Lun-Wei Ku, Academia Sinica, Taiwan
Cheng-Te Li, National Cheng Kung University, Taiwan
For more details, please visit our website! https://sites.google.com/site/socialnlp2021/
We are looking forward to seeing you in SocialNLP 2021!