텍스트 마이닝을 활용한 사용자 핵심 요구사항 분석 방법론

• 영문명: A Methodology for Customer Core Requirement Analysis by Using Text Mining : Focused on Chinese Online Cosmetics Market
• 발행기관: 한국산업경영시스템학회
• 저자명: 신윤식(Yoon Sig Shin) 백동현(Dong Hyun Baek)
• 간행물 정보: 『산업경영시스템학회지』제44권 제2호, 66~77쪽, 전체 12쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2021.06.30

영문 초록

Companies widely use survey to identify customer requirements, but the survey has some problems. First of all, the response is passive due to pre-designed questionnaire by companies which are the surveyor. Second, the surveyor needs to have good preliminary knowledge to improve the quality of the survey. On the other hand, text mining is an excellent way to compensate for the limitations of surveys. Recently, the importance of online review is steadily grown, and the enormous amount of text data has increased as Internet usage higher. Also, a technique to extract high-quality information from text data called Text Mining is improving. However, previous studies tend to focus on improving the accuracy of individual analytics techniques. This study proposes the methodology by combining several text mining techniques and has mainly three contributions. Firstly, able to extract information from text data without a preliminary design of the surveyor. Secondly, no need for prior knowledge to extract information. Lastly, this method provides quantitative sentiment score that can be used in decision-making.

목차

1. 서 론

2. 이론적 배경 및 관련 연구

3. 텍스트 마이닝을 활용한 사용자 핵심요구사항 분석 방법론

4. 사례적용

5. 결 론

키워드

China Online Shopping Mall Sentiment Analysis Social Network Analysis Text Mining