jismart2020028: Exploring Environmental Factors of In-site Architectural Design by Using Text Mining Approach

Abstract

With the rapid development of data collection and storage technology in computer science, data has formed an explosive growth, forming what is now the so-called big data era. Nowadays, architectural design has entered a new height, not only to meet the basic usability, but also to pay attention to the locality of architectural design. From the perspective of the relationship between the natural environment and the building, what we are pursuing now is to allow the building and the natural environment to coexist harmoniously and realize a green and sustainable development concept. Use the cutting-edge technology of big data analysis, use architectural journals and magazines as a corpus for text mining, and combine technical methods in machine learning, statistics and other related fields for research. Analyze the experimental results, complete the word frequency statistics of representative words in the field, the co-occurrence matrix of keywords, and data visualization. It will help us to further explore the relationship between architectural design and natural ecology, and speculate on the future development direction of the construction industry.