#BlackLivesMatter vs. #AllLivesMatter: Understanding Thematic Patterns with Text Mining

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Keywords	social movement, #blacklivesmatter, #alllivesmatter, text mining, topic modeling, lda, network
Thesis Advisor	Roos, J.M.T., Zegners, Dainis
Persistent URL	hdl.handle.net/2105/63686
Series	Business Analytics & Management
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	Aziz, Rafaello. (2022, July 19). #BlackLivesMatter vs. #AllLivesMatter: Understanding Thematic Patterns with Text Mining. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/63686

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