february, 2020

wed05feb5:00 pm5:45 pmImprove Early Warning system with Sentiment Analysis5:00 pm - 5:45 pm Aula 160Q/1, Facoltà Di Ingegneria | Via Brecce Bianche, 12Track:12.Vendor Space | Feb 5-6-7


Event Details

In the area of proliferation of IoT devices and social media, the possibilities to create cyber and/or physical threats are increasing revealing a feasible break for SOC analysts. An enhanced SOC could make use of a holistic Early Warning System architecture, designed for capturing, analysing and correlating several sources of information, in order to increase the situational awareness. Sentiment Analysis is a way to capture possible future events such as demonstration or parades against a sensible company installation, here social media like Twitter or blogs (normal web or dark web) are a source of information

Exprivia IMT-IL

Dr. Marco Cammisa (male) holds Master Degree of Computer Science Engineering at the University of Rome Tor Vergata. He is specialized in Artificial Intelligence and Advanced Analytics methodologies. He works in Exprivia since March 2005, where he has been involved as Application Architect and Senior Data Scientist. He is currently working as: Wp5 Task Leader for the European Project H2020 ECHO, Application Architect and Data Scientist for the project DigitalFuture.


(Wednesday) 5:00 pm - 5:45 pm


Aula 160Q/1

Facoltà Di Ingegneria | Via Brecce Bianche, 12

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