Topic modeling applied to business research: A latent dirichlet allocation (LDA)-based classification for organization studies

Huamán-Delgado, Farita; Vílchez-Román, Carlos; Sanguinetti-Cordero, Sol

dc.contributor.author	Vílchez-Román, Carlos
dc.contributor.author	Huamán-Delgado, Farita
dc.contributor.author	Sanguinetti-Cordero, Sol
dc.contributor.other	Sanguinetti-Cordero, Sol	es_PE
dc.date.accessioned	2019-04-08T15:44:26Z
dc.date.available	2019-04-08T15:44:26Z
dc.date.issued	2019
dc.identifier.citation	Vílchez-Román, C., Huamán-Delgado, F., Sanguinetti-Cordero, S. (2019). Topic Modeling Applied to Business Research: A Latent Dirichlet Allocation (LDA)-Based Classification for Organization Studies. En: Lossio-Ventura J., Muñante D., Alatrista-Salas H. (eds) Information Management and Big Data. SIMBig 2018. Communications in Computer and Information Science, vol 898 (pp 212-219). Springer, Cham. https://doi.org/10.1007/978-3-030-11680-4_21
dc.identifier.uri	http://repositorio.ulima.edu.pe/handle/ulima/8253
dc.description.abstract	More than 1.5 million academic documents are published each year, and this trend shows an incremental tendency for the following years. One of the main challenges for the academic community is how to organize this huge volume of documentation to have a sense of the knowledge frontier. In this study we applied Latent Dirichlet Allocation (LDA) techniques to identify primary topics in organization studies, and analyzed the relationships between academic impact and belonging to the topics detected by LDA.	en
dc.description.uri	Indexado en Scopus	es
dc.format	application/pdf
dc.language.iso	eng	en
dc.publisher	Springer	en
dc.rights		en
dc.source	Universidad de Lima	es_PE
dc.source	Repositorio Institucional - Ulima	es_PE
dc.subject	Pendiente	es
dc.subject.classification	Pendiente / Pendiente	es
dc.title	Topic modeling applied to business research: A latent dirichlet allocation (LDA)-based classification for organization studies	en
dc.type	info:eu-repo/semantics/conferenceObject	es_PE
dc.type.other	Artículo de conferencia en Scopus	es_PE
dc.publisher.country		es