Published February 23, 2020
| Version v1.00
Dataset
Open
Data and Python script for article "A text mining analysis of the climate change literature in industrial ecology'
Contributors
Project members:
- 1. University of Illinois at Chicago
Description
The data and Python script are part of the forum article "A text mining analysis of the climate change literature in industrial ecology" authored by Dayeen, F.R., Sharma, A.S., and Derrible, S., and published in the Journal of Industrial Ecology in 2020.
The Python script and instructions are included in the LiTCoF_v1.00-py.zip file. The original data is available in two formats: .csv and .pkl.
Updates of the script will be posted at https://github.com/csunlab/LiTCoF and at https://csun.uic.edu/codes/LiTCoF.html. The data is also available at https://csun.uic.edu/datasets.html#AbstractsIE.
Feel free to contact any of the authors for information and questions about the data and code.
Files
AbstractsIE.csv
Additional details
Related works
- Is cited by
- Journal article: 10.1111/jiec.12998 (DOI)
Funding
- CAREER: Understanding the Fundamental Principles Driving Household Energy and Resource Consumption for Smart, Sustainable, and Resilient Communities 1551731
- U.S. National Science Foundation
References
- Dayeen FR, Sharma AS, Derrible S. A text mining analysis of the climate change literature in industrial ecology. Journal of Industrial Ecology. 2020;1–9. https://doi.org/10.1111/jiec.12998