Identifying Soccer Players on Facebook Through Predictive Analytics
Abstract
This study assesses the feasibility of identifying self-reported sports practitioners (soccer players) on Facebook. The main goal is to develop a system to support marketers with the decision as to which prospects to target for advertising purposes. To do so, we benchmark several algorithms (i.e., random forest, logistic regression, adaboost, rotation forest, neural networks, and kernel factory) using five times twofold cross-validation. To...
Paper Details
Title
Identifying Soccer Players on Facebook Through Predictive Analytics
Published Date
Dec 1, 2017
Journal
Volume
14
Issue
4
Pages
274 - 297
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