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Archetype-Based Modeling and Search of Social Media.

Authors :
Davis, Brent D.
Sedig, Kamran
Lizotte, Daniel J.
Source :
Big Data & Cognitive Computing; Sep2019, Vol. 3 Issue 3, p1-16, 16p
Publication Year :
2019

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
25042289
Volume :
3
Issue :
3
Database :
Complementary Index
Journal :
Big Data & Cognitive Computing
Publication Type :
Academic Journal
Accession number :
139492988
Full Text :
https://doi.org/10.3390/bdcc3030044