Combining natural language processing and qualitative content analysis to understand online communication strategies in Italian local elections
CELI participates in the 3rd Annual International Conference on Computational Social Science. IC2S2 2017 is an interdisciplinary event designed to engage a broad community of researchers – academics, industry experts, open data activists, government agency workers, and think tank analysts – dedicated to advancing social science knowledge through computational methods.
CELI presents the poster “Combining natural language processing and qualitative content analysis to understand online communication strategies in Italian local elections”. We show the results of text mining and analytics concerning past local election in Turin.
On Friday 14 of July, CELI will make a lesson at BigDive course: “Natural Language Processing and Artificial Intelligence: Overview and Applications to Natural Disaster Management”
This class will be divided into a theory part and a practice one. During the theory lesson, we will provide an overview of current trends in Artificial Intelligence, with emphasis on Natural Language Processing applications. We will present use cases within the broad scenario offered by the I-REACT research & innovation project, funded by the European Commission, aiming to use social media, smartphones and wearables to improve natural disaster management.
During the practice part, students will be able to use the Sophia Analytics text mining platform on real emergency-related data to extract useful information from social media contents.