1. 'TaLTac in ENEAGRID – Toward Parallel Text Mining of Big Data in massive Cultural Textual Corpora – Text Mining & Analytics in ENEAGRID'
- Author
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Migliori S., Alderuccio D., Ambrosino F., Colavincenzo A., Mongelli M., Pierattini S., Ponti G., Quintiliani A., Bolasco S., Baiocchi F., De Gasperis G., ICT-HPC Lab, Migliori, S., Alderuccio, D., Ambrosino, F., Colavincenzo, A., Mongelli, M., Pierattini, S., Ponti, G., Quintiliani, A., Bolasco, S., Baiocchi, F., and De Gasperis, G.
- Subjects
Text Mining Software, Cloud Computing, Digital-Humanities, SocioEconomic Sciences, Big Data, Artificial Intelligence, Cybersecurity, Business Intelligence, AltaGamma ,Digital-Humanities ,Big Data ,Cybersecurity ,Business Intelligence ,Artificial Intelligence ,AltaGamma ,Cloud Computing ,SocioEconomic Sciences ,Text Mining Software - Abstract
In this work we presented an ENEAGRID approach toward Parallel Text Mining of Big Data in massive cultural Textual Corpora. ENEAGRID provides computation, storage resources and services for Text Mining Communities in a ubiquitous and remote way. ENEA distributed e-Infrastructure and cloud services enable the management of research process in Economic-Social Sciences, Digital Humanities and Cybersecurity, providing technology solutions and tools to academic departments and research institutes. With these research activity ENEA opens to collaborations with other Research Communities interested in Parallel Text Mining of Massive Volume of Text Data (PB &TB-sized corpora) in e-Humanities, Heritage Science, Social Sciences, Big Data, Web Mining, Business Intelligence, Open Source Intelligence, Artificial Intelligence, etc
- Published
- 2019