Developing a Semantic Content Analyzer for L’Aquila Social Urban Network
Abstract
This paper presents the preliminary results of a joint research project about Smart Cities. This project is adopting a multi-disciplinary approach that combines artificial intelligence techniques with psychology research to monitor the current state of the city of L’Aquila after the dreadful earthquake of April 2009. This work focuses on the description of a semantic content analysis module. This component, integrated into L’Aquila Social Urban Network (SUN), combines Natural Language Processing (NLP) and Artificial Intelligence (AI) to deeply analyze the content produced by citizens on social platforms in order to map social data with social indicators such as cohesion, sense of belonging and so on. The research carries on the insight that social data can supply a lot of information about latent people feelings, opinion and sentiments. Within the project, this trustworthy snapshot of the city is used by community promoters to proactively propose initiatives aiming at empowering the social capital of the city and recovering the urban structure which has been disrupted after the ’diaspora’ of citizens in the so called ”new towns”.
Autore Pugliese
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MUSTO C.;NARDUCCI F.;SEMERARO G.;de GEMMIS M.;LOPS P.
Titolo volume/Rivista
Non Disponibile
Anno di pubblicazione
2014
ISSN
1613-0073
ISBN
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Numero di citazioni Wos
Nessuna citazione
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Numero di citazioni Scopus
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Settori ERC
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Codici ASJC
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