From Word Counts to Vector Space Modeling: Text mining approaches for large full-text academic corpora.  A population study of RSM graduate theses using structural topic modeling

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Keywords	Text mining, keyphrase extraction, educational data mining, data mining, topic modeling, stm
Thesis Advisor	Crisostomo Pereira Belo, R., Koppius, Otto
Persistent URL	hdl.handle.net/2105/51539
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	Teinonen, Pauli. (2019, August 30). From Word Counts to Vector Space Modeling: Text mining approaches for large full-text academic corpora. A population study of RSM graduate theses using structural topic modeling. Business Information Management. Retrieved from http://hdl.handle.net/2105/51539

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