ARTICLE ANALYSIS

Analysis of article using Artificial Intelligence tools





Id 2830
Author Yazici M.; Durmus Ozturk S.
Title An analysis of Rem Koolhaas's discourses on architecture and urban design using a corpus-based model
Reference

Yazici M.; Durmus Ozturk S. An analysis of Rem Koolhaas's discourses on architecture and urban design using a corpus-based model,Frontiers of Architectural Research 12 2

Keywords
Link to article https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139324546&doi=10.1016%2fj.foar.2022.08.003&partnerID=40&md5=2621876af68621c7c8837cf9165239d1
Abstract This paper explores the networks of thoughts behind words by reading architectural texts in the context of linguistics. Using a corpus-based model, our main interest is what the collocational data contribute at an architectural level. The notion of “collocation identification in architecture” was drawn from an analysis of the use of the data for Rem Koolhaas. The data for this study were collected from Rem Koolhaas's articles from 1977 to 2014. An analysis of Koolhaas's ideas about architecture and urban planning was conducted using the AntConc 3.4.4.0 corpus analysis toolkit. The corpus-based model reduced selected articles to words and lexical bundles using the corpus analysis toolkit. This paper explores Koolhaas's thoughts on understanding architecture and the metaphors he uses by analyzing articles using the corpus-based analysis model. The discourse codes in the texts of Koolhaas are examined. A corpus-based model proposal tested on architectural texts has the potential to create new areas of knowledge for architectural discourse. Deciphering the texts and analyzing the codes contribute to the development of new models. © 2022 Higher Education Press Limited Company

Metodology

Technique

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Tentative Keyword Show Candidate Transition Variables for article (AI method)
Categories Find category for article (AI method)
Crossover theme Find social impact for article (AI method)
Wordcloud Show WordCloud from article (AI method)
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