An evaluation of semi-supervised topic modeling techniques for customer feedback understanding

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Keywords	topic modeling; document clustering; short text; Natural Language Processing; semi-supervised learning; Latent Dirichlet Allocation; topic coherence; clustering evaluation; Gibbs sampling
Thesis Advisor	Paap, R.
Persistent URL	hdl.handle.net/2105/53020
Series	Econometrie
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	Varadi, M. (2020, November 6). An evaluation of semi-supervised topic modeling techniques for customer feedback understanding. Econometrie. Retrieved from http://hdl.handle.net/2105/53020

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