Archetype-Based Modeling and Search of Social Media

Autor: Brent D. Davis, Kamran Sedig, Daniel J. Lizotte
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Big Data and Cognitive Computing, Vol 3, Iss 3, p 44 (2019)
Druh dokumentu: article
ISSN: 2504-2289
DOI: 10.3390/bdcc3030044
Popis: 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.
Databáze: Directory of Open Access Journals