Water Relationships in the U.S. Southwest: Characterizing Water Management Networks Using Natural Language Processing

Water Relationships in the U.S. Southwest: Characterizing Water Management Networks Using Natural Language Processing

Natural language processing (NLP) and named entity recognition (NER) techniques are applied to collections of newspaper articles from four cities in the U.S. Southwest. The results are used to generate a network of water management institutions that reflect public perceptions of water management and...

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Bibliographic Details
Main Authors: John T. Murphy, Jonathan Ozik, Nicholson T. Collier, Mark Altaweel, Richard B. Lammers, Andrew Kliskey, Lilian Alessa, Drew Cason, Paula Williams
Format: Article
Language:English
Published: MDPI AG 2014-06-01
Series:Water
Subjects:
water management
institutions
local vs. regional scale
local water suppliers
natural language processing
data mining
named entity recognition
network analysis
Online Access:http://www.mdpi.com/2073-4441/6/6/1601

Internet

http://www.mdpi.com/2073-4441/6/6/1601

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