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http://dx.doi.org/10.6109/jkiice.2019.23.4.357

Employee's Discontent Text Analysis on Anonymous Company Review Web and Suggestions for Discontent Resolve  

Baek, HyeYeon (Graduate School of Information Security, Sejong Cyber University)
Park, Yongsuk (Graduate School of Information Security, Sejong Cyber University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.23, no.4, 2019 , pp. 357-364 More about this Journal
Abstract
As industrial information disclosure by insider's rate is around 80%, most of relevant researches explain briefly its causes are discontent of salary or human resources system. This paper scrapes texts on Jobplanet, an anonymous company review website and analyzes discontent keyword by 7 related area and their contexts to find out more details on brief causes referred above. After drawing LGG (Local Grammar Graph) by each areas with related dictionary list, this paper shows an example of concordance as a proof and several ways for human resources leakage prevention. Finally, text analysis results are compared with previous researches based on survey with limited questions and answers. This study is meaningful to expand the scope of employee discontent analysis with company review text and provide more specific, granular and honest discontent vocabularies.
Keywords
Text Analysis; Company Review; Text Mining; Employee Discontent; LGG;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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