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

기업 리뷰 웹 사이트 텍스트 분석을 통한 직원 불만 표현 추출과 불만 원인 도출 및 해소 방안

  • Baek, HyeYeon (Graduate School of Information Security, Sejong Cyber University) ;
  • Park, Yongsuk (Graduate School of Information Security, Sejong Cyber University)
  • Received : 2019.02.26
  • Accepted : 2019.03.27
  • Published : 2019.04.30

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.

전현직 직원에 의한 산업정보 유출 비율이 80%에 이르나 산업정보유출 사고에 대한 뉴스기사나 정보유출 행위의 원인에 대한 연구들에서는 그 원인들을 처우나 인사 불만 등으로 간략하게 설명하고 있다. 본 연구에서는 전현직 직원들이 익명 기업리뷰 웹사이트에 남긴 기업에 대한 평가 텍스트를 분석하여 기업에 대한 불만 내용들을 더욱 구체적으로 확인하였다. 이 중 어떠한 불만사항이 퇴직이나 퇴사, 나아가 산업인력유출의 결과로 이어질 수 있는지 파악하기 위해 불만 분야에 대한 의미사전목록을 제시하고 부분문법그래프(LGG)를 구축하였다. 또한 텍스트 분석 결과에서 나타난 전현직 직원들의 불만사항과 기존 연구들에서 설문을 통해 정리한 인력유출 원인을 서로 비교하였다. 추가적으로 분석된 불만을 바탕으로 기업불만 해소를 통한 인력유출 방지 방안을 간략 제시하였다. 기존 설문 위주의 산업 인력 유출에 대한 분석에 더하여, 웹 크롤링을 통한 자유롭고 솔직한 불만 분석을 제공하는 데 의의가 있다.

Keywords

HOJBC0_2019_v23n4_357_f0001.png 이미지

Fig. 1 Crawling part of Jobplanet review (captured)

HOJBC0_2019_v23n4_357_f0002.png 이미지

Fig. 2 LGG for CEO & Managers Discontent

HOJBC0_2019_v23n4_357_f0003.png 이미지

Fig. 3 Concordance Example for CEO Discontent LGG

Table. 1 Examples of Negative Vocabularies by Absence

HOJBC0_2019_v23n4_357_t0001.png 이미지

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