Author:
Lee Eui-Bang,Kim Jinwha,Lee Sang-Gun
Abstract
Purpose
The purpose of this paper is to identify the influence of the frequency of word exposure on online news based on the availability heuristic concept. So that this is different from most churn prediction studies that focus on subscriber data.
Design/methodology/approach
This study examined the churn prediction through words presented the previous studies and additionally identified words what churn generate using data mining technology in combination with logistic regression, decision tree graphing, neural network models, and a partial least square (PLS) model.
Findings
This study found prediction rates similar to those delivered by subscriber data-based analyses. In addition, because previous studies do not clearly suggest the effects of the factors, this study uses decision tree graphing and PLS modeling to identify which words deliver positive or negative influences.
Originality/value
These findings imply an expansion of churn prediction, advertising effect, and various psychological studies. It also proposes concrete ideas to advance the competitive advantage of companies, which not only helps corporate development, but also improves industry-wide efficiency.
Subject
Industrial and Manufacturing Engineering,Strategy and Management,Computer Science Applications,Industrial relations,Management Information Systems
Reference50 articles.
1. Database mining: a performance perspective;IEEE Transactions on Knowledge and Data Engineering,1993
2. Customer churn analysis: churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry;Telecommunications Policy,2006
3. Predicting financial distress of the South Korean manufacturing industries;Expert Systems with Applications,2012
4. Integration of heterogeneous models to predict consumer behavior;Expert Systems with Applications,2010
5. Combining models from neural networks and inductive learning algorithms;Expert Systems with Applications,2011
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