Shale Gaz Extraction in the U.S.: Perspectives from Geo-Located Twitter Conversations

Abstract and Appendix.

Ann Backus https://connects.catalyst.harvard.edu/Profiles/display/Person/55413 (Harvard University)https://www.harvard.edu/ , Nathalie de Marcellis-Warin https://www.nuance-r.com/principalInvestigator.html (CIRANO and Polytechnique Montréal)https://www.cirano.qc.ca/fr/communaute/bottin/view/1477 , Thierry Warin https://www.nuance-r.com/principalInvestigator.html (SKEMA Business School (Raleigh, NC))https://www.skemagloballab.io
2019-09-08

Abstract

In this article, we explore the contrast between the scientific publications about fracking and the potential questions about environmental and health impacts and the perception of the local population. The methodology used in this article is based on unstructured data from Twitter as well as scientific publications. NLP and sentiment analyses are used to extract polarity indices and sentiment categories. Mapping techniques are also extensively used to map all the shale gaz wells and the geo-located conversations on Twitter.

Citation

For attribution, please cite this work as

Backus, et al., "SKEMA Global Lab in AI: Shale Gaz Extraction in the U.S.: Perspectives from Geo-Located Twitter Conversations", Figshare, 2019

BibTeX citation

@article{backus2019shale,
  author = {Backus, Ann and Marcellis-Warin, Nathalie de and Warin, Thierry},
  title = {SKEMA Global Lab in AI: Shale Gaz Extraction in the U.S.: Perspectives from Geo-Located Twitter Conversations},
  journal = {Figshare},
  year = {2019},
  note = {https://skemagloballab.io/research.html/posts/2019-08-21-shale-gaz-extraction-in-the-us/},
  doi = {10.6084/m9.figshare.8847842.v1}
}