2020
DOI: 10.1002/sd.2045
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Using text analytics to apprehend urban sustainability development

Abstract: This research aims to specify critical urban sustainability issues by mining unstructured text data derived from the C40 city datasets of the Carbon Disclosure Project. The current study identifies underlying topical issues exhibited by text corpora, enables creation of smarter data visualizations, and forms useful profiles. Four underlying topical areas are examined: economic opportunities, climate risks, incentives to reduce greenhouse gas emissions, and emissions reduction activities. For each area, we buil… Show more

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Cited by 4 publications
(1 citation statement)
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“…Juventia et al (2020) presented the text mining technique to analyze the agrobiodiversity index and commitments scores for nine countries. With the help of text analysis methods, Lee et al (2020) created an urban sustainability activity index for their study, which used the C40 city data set to identify four underlying issues. Within the context of sustainability, the activities of the cities were determined in accordance with this index.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Juventia et al (2020) presented the text mining technique to analyze the agrobiodiversity index and commitments scores for nine countries. With the help of text analysis methods, Lee et al (2020) created an urban sustainability activity index for their study, which used the C40 city data set to identify four underlying issues. Within the context of sustainability, the activities of the cities were determined in accordance with this index.…”
Section: Literature Reviewmentioning
confidence: 99%