A new approach to semantic sustainability assessment: text mining via network analysis revealing transition patterns in German municipal climate action plans
Abstract Background Various monitoring approaches have shown that urban areas and their energy systems are major contributors to climate change. Corresponding observations have mostly been based on physical data. However, text data is an untapped source of information that can be analyzed by text mi...
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Format: | Article |
Language: | English |
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BMC
2017-07-01
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Series: | Energy, Sustainability and Society |
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Online Access: | http://link.springer.com/article/10.1186/s13705-017-0125-0 |