Amazon Product Reviews: Sentiment Analysis Using Supervised Learning Algorithms-Reference-Cited by-同舟云学术

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Amazon Product Reviews: Sentiment Analysis Using Supervised Learning Algorithms

Published:2021-09-14 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Electronics, Communications and Information Technology (ICECIT)
language:
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Author:

Hawlader Mohibullah,Ghosh Arjan,Raad Zaoyad Khan,Chowdhury Wali Ahad,Shehan Md. Sazzad Hossain,Ashraf Faisal Bin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9641074/9641065/09641243.pdf?arnumber=9641243

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Natural language processing for analyzing online customer reviews: a survey, taxonomy, and open research challenges;PeerJ Computer Science;2024-07-19

2. Sentiment analysis of Arabic social media texts: A machine learning approach to deciphering customer perceptions;Heliyon;2024-05

3. Analyzing Public Sentiment on the Amazon Website: A GSK-Based Double Path Transformer Network Approach for Sentiment Analysis;IEEE Access;2024

4. Preprocess the Text Based Customer Review Data for Sentiment Analysis;Lecture Notes in Networks and Systems;2024

5. A Comprehensive Roadmap on Bangla Text-based Sentiment Analysis;ACM Transactions on Asian and Low-Resource Language Information Processing;2023-04-06

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