2015
Ce document est lié à :
https://hdl.handle.net/20.500.13089/1cgq
Ce document est lié à :
https://doi.org/10.4000/books.aaccademia
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info:eu-repo/semantics/altIdentifier/isbn/978-88-99200-00-8
info:eu-repo/semantics/openAccess , https://creativecommons.org/licenses/by-nc-nd/4.0/
Marco Stranisci et al., « Analyzing and annotating for sentiment analysis the socio-political debate on #labuonascuola », Accademia University Press
The paper describes a research about the socio-political debate on the reform of the education sector in Italy. It includes the development of an Italian dataset for sentiment analysis from two different comparable sources: Twitter and the online institutional platform implemented for supporting the debate. We describe the collection methodology, which is based on theoretical hypotheses about the communicative behavior of actors in the debate, the annotation scheme and the results of its application to the collected dataset. Finally, a comparative analysis of data is presented.