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 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	Kousta, T. (2020, August 28). Local Interpretable Model-agnostic Explanations for Long Short-Term Memory Network used for Classification of Amazon Customer Reviews. Business Economics. Retrieved from http://hdl.handle.net/2105/52706

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