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 APA Style APA-ALL Style AAA 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). 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. In Business Information Management.http://hdl.handle.net/2105/51539

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