A text mining framework for advancing sustainability indicators
- Author
- RIVERA, Samuel J1 ; MINSKER, Barbara S1 ; WORK, Daniel B1 ; ROTH, Dan2
[1] Department of Civil and Environmental Engineering, 205 N. Mathews Ave., University of Illinois at Urbana-Champaign, Urbana IL 61801, United States
[2] Department of Computer Science, 201 N. Goodwin Ave., University of Illinois at Urbana-Champaign, Urbana IL 61801, United States - Source
Environmental modelling & software. 2014, Vol 62, pp 128-138, 11 p ; ref : 3/4 p
- ISSN
- 1364-8152
- Scientific domain
- Ecology; Environment; Computer science; Pollution
- Publisher
- Elsevier, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Informatics Knowledge discovery Sustainability indicators Text mining
- Keyword (fr)
- Développement durable Fouille texte Indicateur
- Keyword (en)
- Sustainable development Text mining Indicator
- Keyword (es)
- Desarrollo sostenible Explotacion texto Indicador
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14A General aspects. Techniques / 002A14A02 Methods and techniques (sampling, tagging, trapping, modelling...)
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14D Applied ecology / 002A14D06 Environment and sustainable development
- Discipline
- Animal, vegetal and microbial ecology
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 29037074
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.envsoft.2014.08.016 
https://dx.doi.org/10.1016/j.envsoft.2014.08.016
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