Analyzing Microtext

The titles of the eight symposia were Analyzing Microtext; Creativity and (Early) Cognitive Development; Data-Driven Wellness: From Self-Tracking to Behavior Change; Designing Intelligent Robots: Reintegrating AI II; Lifelong Machine Learning; Shikakeology: Designing Triggers for Behavior Change; Trust and Autonomous Systems; and Weakly Supervised Learning from Multimedia. This report contains summaries of the symposia, written, in most cases, by the cochairs of the symposium. Much progress has been made in recent years in several areas within natural language processing. However, so far there has been less work related to microtext (for example, instant messaging, transcribed speech, and microblogs such as Twitter and Facebook). Microtext is made up of semistructured pieces of text that are distinguished by their brevity, informality, idiosyncratic lexicon, nonstandard grammar, misspelling, use of emoticons, and sometimes simultaneous interwoven conversation.