Hybrid Text Mining Method for Identifying Resident Dissatisfaction Factors in Construction Defect Repair Services
- 주제(키워드) Text mining , Natural language processing , Latent dirichlet allocation , Semantic network analysis , Feedback thesaurus
- 주제(DDC) 690
- 발행기관 아주대학교 일반대학원
- 지도교수 문성곤
- 발행년도 2025
- 학위수여년월 2025. 2
- 학위명 석사
- 학과 및 전공 일반대학원 건설시스템공학과
- 실제URI http://www.dcollection.net/handler/ajou/000000034323
- 본문언어 영어
- 저작권 아주대학교 논문은 저작권에 의해 보호받습니다.
목차
1. Introduction 1
2. Literature Review and problem statement 4
2.1 User experiences and satisfaction of apartment residents 4
2.2 Text mining approach in construction field 5
2.3 Research problem and proposed hybrid approach 8
3. Proposed methodology 10
3.1 Data collection 11
3.2 Development of a resident feedback thesaurus in newly built apartment 12
3.3 Text pre-processing 16
3.4 Identification of dissatisfaction topics 17
3.5 Exploration of dissatisfaction factors for each topic 20
4. Result and discussion 23
5. Conclusion 37
Reference 40
국문 요약 47
