LDA 토픽 모델링을 활용한 건축주의 단독주택 주거요구 문장 분석

Analysis of Owner’s Detached House Housing Needs Sentences Using LDA Topic Modeling
  • 김인한; 
  • 이아진; 
  • 김지영; 
  • 최중식

초록

With the prolonged COVID-19, people stayed at home longer. This led to a new change in resi dential life, and as interest in the space of home increased, human demands for home diversi fied. In this paper, sentences for the owner's housing needs were collected as a range of detached houses that can reflect various housing needs, and sentences were analyzed using LDA topic modeling. The number of topics was set to 9 using coherence, but most of the sentences were complex sentences, making it difficult to define the topic. In future studies, a more accu rate analysis of sentences for detached house owners' housing needs will be conducted using the multi-label classification used in product review analysis to recognize and analyze complex sen tences

키워드

Housing needs; Latent Dirichlet allocation (LDA); Natural language processing (NLP); Owner; Topic modeling
제목
LDA 토픽 모델링을 활용한 건축주의 단독주택 주거요구 문장 분석
제목 (타언어)
Analysis of Owner’s Detached House Housing Needs Sentences Using LDA Topic Modeling
저자
김인한; 이아진; 김지영; 최중식
DOI
10.7315/CDE.2022.435
발행일
2022-12
유형
Y
저널명
한국CDE학회 논문집
권
27
호
4
페이지
435 ~ 445