A deep learning approach in predicting products’ sentiment ratings: a comparative analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-021-04169-6.pdf
Reference60 articles.
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2. Wu JJ, Chang ST (2020) Exploring customer sentiment regarding online retail services: a topic-based approach. J Retail Consum Serv 55:102145
3. Xu F, Pan Z, Xia R (2020) E-commerce product review sentiment classification based on a Naïve Bayes continuous learning framework. Inf Process Manage. https://doi.org/10.1016/j.ipm.2020.102221
4. Balakrishnan V, Lok PY, Rahim HA (2021) A semi-supervised approach in detecting sentiment and emotion based on digital payment reviews. J Supercomput 77:3795–3810
5. Carosia AE, Coelho GP, Silva AE (2021) Investment strategies applied to the Brazilian stock market: a methodology based on sentiment analysis with deep learning. Expert Syst Appl. https://doi.org/10.1016/j.eswa.2021.115470
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