Mental health news

Institute

Institute of computational linguistics "Antonio Zampolli" (ILC)

Referent

Eva Sassolini
Email: eva.sassolini@ilc.cnr.it

Description

Textual and dynamic database collecting the news on Mental Health available on the web. New textual materials are daily acquired from the web, filtered and analyzed by term-extractions tools, in order to provide the user with different ways to access the texts: searching for words, lemmas, concepts and word families. In addiction it is possible to order the news by relevance for the specific domain (topic) or visualize them in chronological order. The project was born at ILC designed by Manuela Sassi. In 2014 it was supported by two pharmaceutical companies: Otzuka and Lundbeeck. Picchi Eugenio, Eva Sassolini, Alessandra Cinini, Stefano Sbrulli developed spidering, crawling, text annotation and browsing tools. The Textual Database consists of annotated Italian texts. Data format: DBT

Web address

Url: http://dbtvm1.ilc.cnr.it/salutem/

Access mode

On-line

Data tipology

Annotated domain corpus

Database type

DBT