%0 Journal Article
%T Archetype-Based Modeling and Search of Social Media
%J Big Data and Cognitive Computing | An Open Access Journal from MDPI
%D 2019
%R https://doi.org/10.3390/bdcc3030044
%X Existing keyword-based search techniques suffer from limitations owing to unknown, mismatched, and obscure vocabulary. These challenges are particularly prevalent in social media, where slang, jargon, and memetics are abundant. We develop a new technique, Archetype-Based Modeling and Search, that can mitigate these challenges as they are encountered in social media. This technique learns to identify new relevant documents based on a specified set of archetypes from which both vocabulary and relevance information are extracted. We present a case study from the social media data from Reddit, by using authors from /r/Opiates to characterize discourse around opioid use and to find additional relevant authors on this topic. View Full-Tex
%U https://www.mdpi.com/2504-2289/3/3/44