About SocialNLP
To encourage research in the area of SocialNLP, we have organized a SocialNLP SIG-group in AFNLP since 2012 (website: https://sites.google.com/site/socialnlp/home) and made SocialNLP a yearly based workshop series. Through this workshop, we anticipate to provide a platform for research outcome presentation and head-to-head discussion 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 the area of SocialNLP.
About SocialNLP 2016
To realize the cross-disciplinary communication, we have organized the SocialNLP workshop chapters aligned with two top conferences of the related research domains. This year, they are IJCAI 2016 and EMNLP 2016. Our purpose is to bring an excellent opportunity for AI people and NLP people to find the role of AI and NLP techniques in SocialNLP together. Especially, we have a strong program committee (around 100 researchers) this year, in which 88% members have been reviewers for ACL series of conferences, which are top ones for NLP related research, and they can be very helpful in promoting our workshop. Therefore, we believe that SocialNLP 2016 can draw much interest and attract many audiences from potential academic or industrial participants of NLP. The most exciting thing is that we start to call for data paper this year to reach our aim of making data available to the research community by sharing datasets. Through the publication of data papers, SocialNLP participants can get familiar with the data by consulting the data creators in the workshop. We sincerely invite you to join us in this exciting event as well as share your experience, thoughts and comments on natural language processing for social media in your preferred time and venue!
Topics
Topics of interests for the workshop include, but are not limited to:
Content analysis on Social Media
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
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
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
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
For other details, please visit our website! We are looking forward to seeing you in SocialNLP 2016!