Name
Abstract | ||
|---|---|---|
Social networks analysis is an emerging trend among scholars and researchers in the last years. A great number of companies are interested in social networks data mining. Data gathered from Facebook, Twitter or other social networks result to be very attractive in many application fields, like economics analysis, sentiment analysis, and politics analysis and so on. In our work, we focused on the analysis of the content of textual information obtained from the social media. Our investigation is finalized to extract hot topics in social network. We considered, as case study, reviews obtained from the social network Yelp. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-69835-9_64 | ADVANCES ON P2P, PARALLEL, GRID, CLOUD AND INTERNET COMPUTING (3PGCIC-2017) |
DocType | Volume | ISSN |
Conference | 13 | 2367-4512 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Flora Amato | 1 | 458 | 66.48 |
| Giovanni Cozzolino | 2 | 3 | 15.60 |
| Vincenzo Moscato | 3 | 519 | 64.03 |
| Antonio Picariello | 4 | 858 | 87.40 |
| Giancarlo Sperlì | 5 | 0 | 2.03 |