Analyzing Text Data in Economics: The Stability and Performance of LDA

Additional Metadata
Keywords	Latent Dirichlet Allocation; Machine Learning; Text Data; Perplexity; Instability; Lasso Regression
Thesis Advisor	Cavicchia, C.
Persistent URL	hdl.handle.net/2105/62145
Series	Econometrie
Organisation	Erasmus School of Economics
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	Winkel, E.J. van de. (2022). Analyzing Text Data in Economics: The Stability and Performance of LDA. In Econometrie.http://hdl.handle.net/2105/62145

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