A text mining analysis of the climate change literature in industrial ecology-Reference-Cited by-同舟云学术

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A text mining analysis of the climate change literature in industrial ecology

Published:2020-03-13 Issue:2 Volume:24 Page:276-284
ISSN:1088-1980
Container-title:Journal of Industrial Ecology
language:en
Short-container-title:Journal of Industrial Ecology

Author:

Dayeen Fazle Rabbi¹^ORCID,Sharma Abhinav S.²,Derrible Sybil³^ORCID

Affiliation:

1. Department of Physics University of Illinois Chicago Chicago Illinois

2. School of Photovoltaics and Renewable Energy Engineering University of New South Wales Sydney Australia

3. Department of Civil and Materials Engineering University of Illinois Chicago Chicago Illinois

Funder

Division of Civil, Mechanical and Manufacturing Innovation

National Science Foundation

Publisher

Wiley

Subject

General Social Sciences,General Environmental Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jiec.12998

Reference17 articles.

1. Mining Text Data

2. Evolution of Public Supply Water Withdrawal in the USA: A Network Approach

3. Latent Dirichlet allocation;Blei D. M.;Journal of machine Learning research,2003

4. Boden T. Andres R. &Marland G.(2017).Global regional and national fossil‐fuel CO2 Emissions(1751–2014) [dataset].

5. An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field

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