Professor Pietro Ducange

SMART Engineering Solutions & Technologies (SMARTEST) Research Centre
eCampus University, Via Isimbardi 10, 22060, Novedrate CO (Italy)

Title: Social Sensing and Sentiment Analysis
How to exploit On Line Social Network as information Sources

Abstract: Social network sites, also called micro-blogging services (e.g., Twitter, Facebook, Google+), have spread in recent years, becoming a new kind of real-time information channel. Their popularity stems from the characteristics of portability thanks to several social networks applications for smartphones and tablets, easiness of use, and real-time nature. People intensely use social networks to report (personal or public) real- life events happening around them or simply to express their opinion on a given topic, through a public message. Social networks allow people to create an identity and let them share it in order to build a community. In this talk, we first discuss how social networks and media platforms can be used as sources of information for the detection of events, such as traffic congestion, incidents, natural disasters (earthquakes, storms, fires, etc.), or other events. Then, we show how to extract the “sentiment” hidden behind messages and comments that users post and share on social networks. The users’ sentiment may be exploited for profiling the reputation of commercial activities and brands, for estimating the results of elections or of marketing campaigns, and in general for evaluating the general humor of a community with respect a specific topic.

Keywords: natural language processing, sentiment analysis, social sensing, text mining.

CV: Pietro Ducange received the M.Sc. degree in Computer Engineering and the Ph.D. degree in Information Engineering from the University of Pisa, Pisa, Italy, in 2005 and 2009, respectively. From May 2014, Pietro Ducange has been Associate Professor at the eCampus University. He teaches Computer Architecture, Operating Systems, Artificial Intelligence and Data Mining. He is the Director of the SMART Engineering Solutions & Technologies (SMARTEST) Research Centre and the Coordinator of Business and Computational Intelligence (BCI) research group at the eCampus University. Moreover, since September 2014 prof. Ducange has been adjunct professor at the University of Pisa, where he is also a member of the Data Science and Engineering Laboratory of the Department of Information Engineering. His main research interests include evolutionary fuzzy systems, big data mining, social sensing and sentiment analysis, multi-criteria optimization. Prof. Ducange has been involved in a number of R&D projects, funded by both public or private entities, in which data mining and computation intelligence algorithms have been successfully employed. He has co-authored more than 40 papers in international journals and conference proceedings. Prof. Ducange has served several international conferences as PC member. Currently, he serves the Soft Computing Journal (Springer) as associate editor in the Methodologies & Application area.