A Methodology for Social Networks Analysis and Mining

被引：0

作者：

Amato, Flora ^{[1
,2
]}

Cozzolino, Giovanni ^{[1
,2
]}

Moscato, Vincenzo ^{[1
,2
]}

Picariello, Antonio ^{[1
,2
]}

Sperli, Giancarlo ^{[1
,2
]}

机构：

[1] Univ Naples Federico II, DIETI, Via Claudio 21, I-80125 Naples, Italy

[2] CINI, ITEM Natl Lab, Via Cinthia, I-80126 Naples, Italy

来源：

ADVANCES ON P2P, PARALLEL, GRID, CLOUD AND INTERNET COMPUTING (3PGCIC-2017) | 2018年 / 13卷

关键词：

EXTRACTION;

D O I：

10.1007/978-3-319-69835-9_64

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：683 / 691

页数：9

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