Big Data Meet Pharmaceutical Industry: An Application on Social Media Data

被引：2

作者：

Liberati, Caterina ^{[1
]}

Mariani, Paolo ^{[1
]}

机构：

[1] Univ Milano Bicocca, DEMS, Pzza Ateneo Nuovo 1, I-20126 Milan, Italy

来源：

CLASSIFICATION, (BIG) DATA ANALYSIS AND STATISTICAL LEARNING | 2018年

关键词：

Big Data; Dimensions reduction; Knowledge extraction; Healthcare sector;

D O I：

10.1007/978-3-319-55708-3_3

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

Big Data are hard to capture, store, search, share, analyze, and visualize. Without any doubts, Big Data represent the new frontier of data analysis, although their manipulation is far to be realized by standard computing machines. In this paper, we present a strategy to process and extract knowledge from Facebook data, in order to address marketing actions of a pharmaceutical company. The case study relies on a large Italians sample, interested in wellness and health care. The results of the study are very sturdy and can be easily replicated in different contexts.

引用

页码：23 / 30

页数：8

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