In the perspective to offer tools to assist patients and hearing healthcare professionals in informed adoption of apps for improved service delivery, our research develops methods to characterize apps and to identify their features. In this study, we developed an automated method to extract apps' features directly from the Web.

Characterization of Features of Mobile Apps by Automated Extraction of Information from the Web

Paglialonga A;Tognola G
2017

Abstract

In the perspective to offer tools to assist patients and hearing healthcare professionals in informed adoption of apps for improved service delivery, our research develops methods to characterize apps and to identify their features. In this study, we developed an automated method to extract apps' features directly from the Web.
2017
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
Inglese
Third International Meeting on Internet and Audiology
Sì, ma tipo non specificato
27-28 July 2017
Louisville (KY) USA
e-health
m-health
apps
hearing
app stores
information extraction
natural langua
metamap
4
info:eu-repo/semantics/conferenceObject
none
274
04 Contributo in convegno::04.02 Abstract in Atti di convegno
Paglialonga, A; Caiani, Eg; Riboldi, M; Tognola, G
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/330251
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