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Sentiment Analysis Decision System for Tracking Climate Change Opinion in Twitter by Mustapha Lydiri; Youssef El Habouz; Hicham Zougagh is a book available to read on EtoBox.

What is Sentiment Analysis Decision System for Tracking Climate Change Opinion in Twitter about?

Global warming or climate change is one of the most trend topics of the decade in the world, according to scientists the earth is getting warm more every year, hence people are more and more complaining about this phenomenon, some of them believe that climate change is happening, and we should worry and act about it. Despite that, the Intergovernmental Panel on Climate Change (IPCC) confirms that global warming is real and causes climate change, the majority of people are still in doubt about that, this group is generally called deniers or skeptics who think that it is not real and not caused by human. This group of people is costing a lot for countries, by affecting others who think that we should take corrective actions toward global warming. Thus, it is required to create models that identify the impact of people's thoughts to help governments for achieving better control of their citizens. In this work we present a new model for analyzing public opinion on social media platforms especially Twitter about climate change subject, we adopted the Sentiment Analysis technique, which is a field of natural language processing, we provided an effective model based on Convolutional Neura

Author

Mustapha Lydiri; Youssef El Habouz; Hicham Zougagh

Publisher

Springer International Publishing : Imprint : Springer

Published

2022

Language

EN

ISBN

9783031064586

Subjects

Management, Mathematics, Business