A Text Analytics Architecture for Smart Companies

Autor:	Alfredo Lupi, Mariagrazia Fugini, Filippo Leccardi, Paolo Locatelli, Jacopo Finocchi
Rok vydání:	2019
Předmět:	Big Data Enterprise content management business.industry Computer science Big data 02 engineering and technology Process architecture Context Aware Computing Text Analytics Big Data Enterprise Content Management Natural Language Processing Enterprise Content Management Data science Context Aware Computing Text mining Analytics 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Text Analytics Architecture business Natural Language Processing
Zdroj:	WETICE
Popis:	This paper presents an architecture for Big Data Analytics regarding unstructured content. The architecture is proposed as an industrial solution in a real setting. In particular, the paper focuses on BD (Big Data) for Smart Companies and on Enterprise Content Management for extraction of information from textual BD. It presents the process architecture and discusses some experiments done as part of a larger BD Analytics project.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c51ff80496648f472e66df3944f79911 https://doi.org/10.1109/wetice.2019.00064 Zobrazit plný text záznamu