2022
DOI: 10.1007/978-3-031-11232-4_8
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Building Information Modeling on Construction Safety: A Literature Review

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Cited by 13 publications
(6 citation statements)
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“…The text analytics with Matlab can be useful in automating the process of extracting information from text, significantly reducing the time required for manual processing [36]. This method is similar to the studies of Ongpeng et al [37,38], where Matlab Text Data Analytics was utilized for generating the topics. Figure 2 shows the word cloud generated, which contains regularly occurring words from the documents extracted.…”
Section: Methodsmentioning
confidence: 99%
“…The text analytics with Matlab can be useful in automating the process of extracting information from text, significantly reducing the time required for manual processing [36]. This method is similar to the studies of Ongpeng et al [37,38], where Matlab Text Data Analytics was utilized for generating the topics. Figure 2 shows the word cloud generated, which contains regularly occurring words from the documents extracted.…”
Section: Methodsmentioning
confidence: 99%
“…NOT and OR are used to obtain more accurate results. [11]. Moreover, it tracks citation data for other journals and provides access to the system's databases for its journal impact measures (SNIP and SJR) [12].…”
Section: Review Methodologymentioning
confidence: 99%
“…Our primary data source was the Scopus database, renowned for its extensive collection of abstracts and citations across various academic fields [28]. Utilizing Scopus, we employed keyword searches with Boolean operators such as AND, AND NOT, and OR to refine our search results [29]. Moreover, Scopus offers advanced search functionalities, citation analysis tools, and author metrics, enabling in-depth investigations, assessments of prior research impact, and the identification of influential authors [30].…”
Section: Introductionmentioning
confidence: 99%
“…To gauge the effectiveness of the LDA model, we assessed its performance using perplexity, a metric that gauges how effectively the model describes a collection of documents [33]. Lower perplexity values signify a superior fit, indicating that models with lower perplexity are more favorable [29]. Consequently, four (4) themes or topics are selected in this study, as it demonstrated the lowest perplexity as depicted in Figure 3.…”
Section: Introductionmentioning
confidence: 99%