- Start date: 01/02/2014
- End date: 31/05/2016
- Duration (months): 28
- Total budget: € 998.100
- Lab Budget: € 184.100
- Number of partners: 4
- Partners: Advantech s.r.l., CICII – Università del Salento, Selex ES SpA, SPHERA. s.r.l.
Input data are crawled from major social networks, as well as web news feeds: a multi-channel extraction from diverse online sources.
A further layer filters, classifies and tags the input information through Natural Language Processing techniques.
Unsupervised sentiment analysis algorithm are developed to calculate the text polarity.
The social network analytics and predictive capabilities are the core distinctive features of MUSCA, compared to existing brand monitoring solutions.
Advanced algorithms identify the roles of the people in the social network, providing insightful indication about key influencers.
For more information please contact: Laura Fortunato (firstname.lastname@example.org)