Decoding Customer Sentiments: Utilising advancements in text analytics to extract strategic insights  from E-Commerce reviews.

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Keywords	Text analytics; Data Science; Topic analysis; Sentiment analysis; machine learning; deep learning modelling
Thesis Advisor	Cavicchia, C
Persistent URL	hdl.handle.net/2105/72666
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	Niamonitakis, A. (2024, August 27). Decoding Customer Sentiments: Utilising advancements in text analytics to extract strategic insights from E-Commerce reviews.. Business Economics. Retrieved from http://hdl.handle.net/2105/72666

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