Detecting Frames and Causal Relationships in Climate Change Related Text Databases Based on Semantic Features

Detecting Frames and Causal Relationships in Climate Change Related Text Databases Based on Semantic Features

abstract: The subliminal impact of framing of social, political and environmental issues such as climate change has been studied for decades in political science and communications research. Media framing offers an “interpretative package" for average citizens on how to make sense of climate ch...

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Bibliographic Details
Other Authors: Alashri, Saud (Author)
Format: Doctoral Thesis
Language:English
Published: 2018
Subjects:
Computer science
Artificial intelligence
Climate Change
Data Mining
Machine Learning
Natural Language Processing
Semantic Computing
Online Access:http://hdl.handle.net/2286/R.I.49062

Internet

http://hdl.handle.net/2286/R.I.49062

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