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Data Driven Innovation Rome 2017 – Open Summit
COGNITIVE COMPUTING IN THE DIGITAL HEALTH ERA
Federico NERILanguage Intelligence manager
Information Overload in Big Data era
The Web is a virtual place where to share opinionsThe
interaction with other
users influences
the choices of everyday
life
Interaction
Digital contents express
emotions about
events, services or products
Emotion
Contributions are shared without the need
of a specific stimulus
Spontaneity
Turn information into Knowledge and Insights
Listento people
Detect their attitudes
Seize their expectations
Detect the signals
of their change
Collect multimedia data (texts, audio & videos)
Detect facts and opinions, identifying Who Makes What,
Where, When, by Speech & Semantic Analyses
Classify them by Supervised & Unsupervised Clustering
Explora, the Cognitive platform
Natural Language Understanding is based on
Morpho-syntactic Analysis
Semantic Role Analysis
Semantic Analysis
Statistical Analysis
ExploraText, from Words to Concepts and Roles
Debating on a “revolutionary” drug
A pharma company needs to Listen to Web
conversations about its products
Identify commercial drivers and possible resistances
Monitor Brand Reputation and drug risks
alert
The Innovation, from Words to Cloud of Concepts
The Innovation, from Words to Nets of Concepts
Debating about spiral as a contraceptive method
A pharma company needs to Listen to Web conversations about
spiral as a contraceptive method Automatically identify commercial
drivers and resistances
The Innovation, from Words to Cloud of Concepts
The Innovation, from Words to Nets of Concepts
Posizionamento rispetto alla Concorrenza
Main characteristics
Main Characteristics
Multi-channel It manages contributions from Internet (Web sites, blogs,
microblogs, forums, social networks, …), Intranet (filesystem, database), e-mails…
Multi-media It manages texts, audio and videos
Multi-language and Cross-language It analyses and extracts informations from contributions written
in the the main European languages (English, Italian, Spanish, Portuguese, French, German…) by a Lexical & Semantic approach
Architecture It is compliant with Big Data standards, designed to storage and
give fast and easy access to milions of records
It is integrated with: Noun Phrases Extraction Tool Lexical & Semantic Resources (Dictionary, Knowledge Base /
Ontology) Editor Classification Model Editor (Supervised Clustering)
Main Characteristics
PisaVia Forti Umberto, 156121 Pisa (PI) Tel: +39 050 9655012
MilanoCorso Sempione, 6220149 Milano (M))
RomaVia Giovanni Squarcina, 300143 Roma, ItalyTel: +39.06.58230391Fax: +39.06.58230391
RendeVia Genova, 2987036 Rende (CS) Tel: +39 340 6297656
Where we are
Federico NERILanguage Intelligence [email protected]