Research on Post-occupancy Evaluation of Built Environment Based on Text Mining Technology
Ma Yue
Abstract：Data mining technology has provided powerful support in realizing the value of big data, and text mining for data is one of its important aspects. The study of users' assessments is an important part of post-occupancy evaluation (POE) of built environments. As a result of abundant network information, many platforms have provided user evaluations including opinions relating to the built environment. This assessment information is extensive and can, following collection and analysis by text mining technology, be used to supplement traditional POE methods. This paper applies text mining technology to collect and analyze user opinions relating to the National Centre for the Performing Arts, the Shanghai Grand Theatre and the Guangzhou Opera House from network platforms, and verifies the feasibility of using this technology to supplement traditional PEO methods.
Keywords：post-occupancy evaluation(POE)text miningtheatreword frequency analysis
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 96-101 )