Automated classification of building information modeling (BIM) case studies by BIM use based on natural language processing (NLP) and unsupervised learning
N Jung, G Lee - Advanced Engineering Informatics, 2019 - Elsevier
This paper comparatively analyzes a method to automatically classify case studies of
building information modeling (BIM) in construction projects by BIM use. It generally takes a …
building information modeling (BIM) in construction projects by BIM use. It generally takes a …
Using text mining to estimate schedule delay risk of 13 offshore oil and gas EPC case studies during the bidding process
BY Son, EB Lee - Energies, 2019 - mdpi.com
Korean offshore oil and gas (O&G) mega project contractors have recently suffered massive
deficits due to the challenges and risks inherent to the offshore engineering, procurement …
deficits due to the challenges and risks inherent to the offshore engineering, procurement …
Automatic review of construction specifications using natural language processing
Since construction specifications are normally over 1000 pages and are complicated and
often inconsistent, reviewing them is a labor-intensive and time-consuming activity. Thus, the …
often inconsistent, reviewing them is a labor-intensive and time-consuming activity. Thus, the …
A study on the relationship between class similarity and the performance of hierarchical classification method in a text document classification problem
S Jang, D Min - Journal of Society for e-Business Studies, 2022 - calsec.or.kr
The literature has reported that hierarchical classification methods generally outperform the
flat classification methods for a multi-class document classification problem. Unlike the …
flat classification methods for a multi-class document classification problem. Unlike the …
Bridge Damage Factor Recognition from Inspection Reports Using Deep Learning
This paper proposes a method for bridge damage factor recognition from inspection reports
using deep learning. Bridge inspection reports contains inspection results including …
using deep learning. Bridge inspection reports contains inspection results including …
Multidimensional Analysis of Unstructured Data and Trends in Architectural Review Opinions of Small and Medium-Sized Apartment Projects
J Kim, T Hwang, JS Kim, Y Huh - Korean Journal of Construction …, 2023 - koreascience.kr
This study examines the characteristics of architectural review opinions as unstructured
data, focusing on the most challenging risk for developers of small and medium-sized …
data, focusing on the most challenging risk for developers of small and medium-sized …
텍스트문서분류에서범주간유사도와계층적분류방법의성과관계연구
장수정， 민대기 - 한국전자거래학회지, 2020 - dbpia.co.kr
비정형 텍스트 문서를 다중 범주로 분류하는 문제에 있어서, 계층적 분류 방법이 비계층적 분류
방법에 비하여 분류 성능이 우수한 것으로 알려져 있다. 기존 문헌과 다르게 본 연구에서는 …
방법에 비하여 분류 성능이 우수한 것으로 알려져 있다. 기존 문헌과 다르게 본 연구에서는 …
Application of Text Mining for Legal Information System: Focusing on Defamation Precedent
YH Kim - Journal of the Korean Society for Library and …, 2020 - koreascience.kr
Precedents are data containing various types of information. In this study, I proposed a
method to be utilized as legal information system for the public using automatic text analysis …
method to be utilized as legal information system for the public using automatic text analysis …
R 프로그램을이용한SNS 상의모바일기기사용자감성분석
이현경， 김종배 - 예술인문사회융합멀티미디어논문지, 2017 - dbpia.co.kr
IoT (Internet of Things) 가 결합된 다양한 제품들과 소셜 네트워크 서비스 (SNS) 산업의 성장은
방대한 양의 데이터를 만들어내는 시대를 열었다. 실제로 대표적인 SNS 인 Twitter 에는 2014 …
방대한 양의 데이터를 만들어내는 시대를 열었다. 실제로 대표적인 SNS 인 Twitter 에는 2014 …
Construction Bid Data Analysis for Overseas Projects Based on Text Mining-Focusing on Overseas Construction Project's Bidder Inquiry
Most data generated in construction projects is unstructured text data. Unstructured data
analysis is very needed in order for effective analysis on large amounts of text-based …
analysis is very needed in order for effective analysis on large amounts of text-based …