Local Interpretable Model-agnostic Explanations for Long Short-Term Memory Network used for Classification of Amazon Customer Reviews

Additional Metadata
Keywords	Classification of customer reviews; Text classification; Sentiment analysis; Recurrent Neural Networks; RNN; Long Short-Term Memory; LSTM; Local Interpretable Model-agnostic Explanations; LIME; Submodular pick
Thesis Advisor	Maasakkers, F.J.L. van
Persistent URL	hdl.handle.net/2105/52706
Series	Business Economics
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	Kousta, T. (2020). Local Interpretable Model-agnostic Explanations for Long Short-Term Memory Network used for Classification of Amazon Customer Reviews. In Business Economics.http://hdl.handle.net/2105/52706

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