Sentiment analysis for e-commerce product reviews by deep learning model of Bert-BiGRU-Softmax-Reference-Cited by-同舟云学术

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Sentiment analysis for e-commerce product reviews by deep learning model of Bert-BiGRU-Softmax

Published:2020 Issue:6 Volume:17 Page:7819-7837
ISSN:1551-0018
Container-title:Mathematical Biosciences and Engineering
language:en
Short-container-title:

Author:

Liu Yi, ,Lu Jiahuan,Yang Jie,Mao Feng

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modelling and Simulation,General Medicine

Link

http://www.aimspress.com/article/10.3934/mbe.2020398/pdf

Reference11 articles.

1. P. A. Pavlou, A. Dimoka, The nature and role of feedback text comments in online

2. A. Abbasi, H. Chen, A. Salem, Sentiment analysis in multiple

3. C. Chang, C. J. Lin,

4. A. Yadav, D. K. Vishwakarma, Sentiment analysis using deep learning

5. P. D. Turney, M. L. Littman, Measuring praise and

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1. Sentiment Analysis on E-Commerce Product Reviews Using Machine Learning and Deep Learning Algorithms: A Bibliometric Analysis, Systematic Literature Review, Challenges and Future Works;International Journal of Information Management Data Insights;2024-11

2. Customer Sentiments in Product Reviews: A Comparative Study with GooglePaLM;Analytics;2024-06-18

3. Sentiment analysis of the Hamas-Israel war on YouTube comments using deep learning;Scientific Reports;2024-06-13

4. An Al-BERT-Bi-GRU-LDA algorithm for negative sentiment analysis on Bilibili comments;PeerJ Computer Science;2024-05-15

5. Sentiment Analysis of Tweets Towards Vaccines via Bidirectional Encoder Representations from Transformers (BERT);Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence;2024-04-26

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