NLP 2016 - Special Session on Natural Language Processing for Social Media

The last decade has witnessed the blooming era of social media, where people tend to spend more time and effort on online communication, interaction, content-sharing and collaboration than using traditional means. The collection of information on social media channels thus has become a major source for applied research and real applications in various areas. However, it also poses much challenges, where difficulties lie on the incrementally huge size of real data; and the complexity of data contents, currently mostly textual, being involved on social media. This special session, entitled Natural Language Processing (NLP) for Social Media, aims at coping with the latter. Generally, the content on social media platforms is different from that on others in terms of style, tone, purpose, etc. For instance, posts on Twitter are limited in size, thus can contain jargons, emoticons, or abbreviations which usually do not follow formal grammar. Hence, it is not suitable to apply existing natural language techniques on such content because they are not tailored to do so. Furthermore, due to the change of the style to the content and the availability of heterogeneous resources (e.g. social relationship among people), novel NLPtechniques arehighly designed for such platform. There are three general areas of this theme. First, one may want to investigate and infer user behaviors when functioning on Web-based socia media systems. Second, user-generated data in social media is mainly in the form of text, which prompts new techniques for semantic understanding, accurate search, and efficient processing of big social media data. Third, data mining and information retrieval techniques are demanded for knowledge discovery on social media enviroment, especially for trend prediction of online communities. In this special session, we encourage contributions concerned with any topics of NLP for Social Mediaand their derived applications. We expect this special session can provide mutually-reinforced benefits for researchers in areas of natural language processing, Web techniques, information retrieval and social media analytics.
Topics of interests for the workshop include, but are not limited to:
Burst detection on social media
Inferring demographic 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
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
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
Learning to rank for social media
Content-based and social-based Recommendation
Multi-lingual machine translation on Microblog