The power of Twitter: Using social media to automatically extract crucial information about product success

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Keywords	Sentiment Analysis Twitter, Prediction Analytics, Product Success, smartphones, social media, feedback, data analysis
Thesis Advisor	Oh, JooHee, Frick, T.W.
Persistent URL	hdl.handle.net/2105/45621
Series	Business Information 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	Markey, Ross. (2018, August 2). The power of Twitter: Using social media to automatically extract crucial information about product success. Business Information Management. Retrieved from http://hdl.handle.net/2105/45621

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