Twitter for election forecasts: a joint machine learning and complex network approach applied to an italian case study
Coletto M., Lucchese C., Orlando S., Perego R., Chessa A., Puliga M.
Online social networks Database applications Data mining
Several studies have shown how to approximately predict real-world phenomena, such as political elections, by ana- lyzing user activities in micro-blogging platforms. This ap- proach has proven to be interesting but with some limita- tions, such as the representativeness of the sample of users, and the hardness of understanding polarity in short mes- sages. We believe that predictions based on social network analysis can be significantly improved by exploiting machine learning and complex network tools, where the latter pro- vides valuable high-level features to support the former in learning an accurate prediction function.
Source: ISTI Technical reports, 2015
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@techreport{oai:it.cnr:prodotti:328077,
title = {Twitter for election forecasts: a joint machine learning and complex network approach applied to an italian case study},
author = {Coletto M. and Lucchese C. and Orlando S. and Perego R. and Chessa A. and Puliga M.},
institution = {ISTI Technical reports, 2015},
year = {2015}
}
0000-0002-2852-8371