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Archetype-Based Modeling and Search of Social Media.
- 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]
- Subjects :
- ARCHETYPE (Psychology)
SOCIAL media
SLANG
JARGON (Terminology)
MEMETICS
Subjects
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