A Text-mining Analysis of the Effect of Sentiment and Topics on Virality of Online Climate Change News Articles on Facebook and LinkedIn: The Case of ‘The Guardian’

Additional Metadata
Keywords	LDA, Sentiment Analysis, Virality, Climate Change
Thesis Advisor	Liberali, Gui, Berens, Guido
Persistent URL	hdl.handle.net/2105/42617
Series	International Management CEMS
Organisation	Rotterdam School of Management
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Feldhuis, Andrè. (2018, March 29). A Text-mining Analysis of the Effect of Sentiment and Topics on Virality of Online Climate Change News Articles on Facebook and LinkedIn: The Case of ‘The Guardian’. International Management CEMS. Retrieved from http://hdl.handle.net/2105/42617

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