作者: Antonio Picariello , Giancarlo Sperlì , Flora Amato , Giovanni Cozzolino , Vincenzo Moscato
DOI: 10.1007/978-3-319-69835-9_64
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摘要: Social networks analysis is an emerging trend among scholars and researchers in the last years. A great number of companies are interested social data mining. Data gathered from Facebook, Twitter or other result to be very attractive many application fields, like economics analysis, sentiment politics so on. In our work, we focused on content textual information obtained media. Our investigation finalized extract hot topics network. We considered, as case study, reviews network Yelp.