Sentiment Analysis on Reviews of E-commerce Sites Using Machine Learning Algorithms

Author:

Hossain Md. Jahed1,Joy Dabasish Das1,Das Sowmitra1,Mustafa Rashed2

Affiliation:

1. Port City International University Chattogram,Department of Computer Science & Engineering,Bangladesh

2. University of Chittagong Chattogram,Department of Computer Science & Engineering,Bangladesh

Publisher

IEEE

Cited by 6 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. A Fuzzy Synthetic Evaluation Approach to Assess Usefulness of Tourism Reviews by Considering Bias Identified in Sentiments and Articulacy;Information;2024-04-19

2. Bangla E-Commerce Sentiment Analysis Optimization Using Tokenization and TF-IDF;2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS);2024-03-08

3. Comparative Analysis of Machine Learning Algorithms for Conducting Sentiment Analysis on Product Reviews Derived from Social Media Data;2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2023-12-15

4. Evaluation of Public Health Centers Performance through Sentiment Analysis using LSTM in Bali Province, Indonesia;2023 11th International Conference on Cyber and IT Service Management (CITSM);2023-11-10

5. Classifying and Predicting The Rating Sentiment of Women's E-commerce Clothing Reviews: A Comparative Study Using SVM, ANN, and BERT Models;2023 5th International Conference on Cybernetics and Intelligent System (ICORIS);2023-10-06

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