Identification and extraction of memes represented as semantic networks from free text online forums

dc.creator	Beck-Fernández,Héctor
dc.creator	Nettleton,David F
dc.date	2015-01-01
dc.date.accessioned	2019-04-24T21:28:44Z
dc.date.available	2019-04-24T21:28:44Z
dc.identifier	https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0718-33052015000100006
dc.identifier.uri	http://revistaschilenas.uchile.cl/handle/2250/59058
dc.description	Memes have recently come into vogue in the context of 'viral' transmission of basic information units in online social networks. However, from their original general definition in a sociological context, there is still much work to be done from an information technology viewpoint. This includes such issues as how to process memes from real text corpus, formal definitions for knowledge representation, meme refinement and selection. In order to address these issues, in this paper we adapt definitions from the semantic network and information retrieval fields to extract memes as semantic networks from free text documents, and then we present some examples in the context of a simple online forum.
dc.format	text/html
dc.language	en
dc.publisher	Universidad de Tarapacá.
dc.relation	10.4067/S0718-33052015000100006
dc.rights	info:eu-repo/semantics/openAccess
dc.source	Ingeniare. Revista chilena de ingeniería v.23 n.1 2015
dc.subject	Memes
dc.subject	semantic networks
dc.subject	information retrieval
dc.subject	free format text
dc.title	Identification and extraction of memes represented as semantic networks from free text online forums