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

Additional Metadata
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 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	Niamonitakis, A. (2024). Decoding Customer Sentiments: Utilising advancements in text analytics to extract strategic insights from E-Commerce reviews. In Business Economics.http://hdl.handle.net/2105/72666

Publication