The use of Text Analytics on Customer Reviews: Identifying Features that can Differentiate between Satisfied and Dissatisfied Customers

Additional Metadata
Keywords	Product Reviews; Machine Learning; Text Analytics; Sentiment Analysis; Latent Dirichlet Allocation; Customer Decision Journey.
Thesis Advisor	Landsman-Schwartz, V.
Persistent URL	hdl.handle.net/2105/53898
Series	Business Economics
Organisation	Erasmus School of Economics
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	Dullens, Y.T. (2019, November 12). The use of Text Analytics on Customer Reviews: Identifying Features that can Differentiate between Satisfied and Dissatisfied Customers. Business Economics. Retrieved from http://hdl.handle.net/2105/53898

Publication