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Research Article

Customer Product Reviews with Sentimental Analysis Using Machine Learning

Miruna Joe Amali. S1 Harini. S. S2 Akshaya.T.H3
1Head of the Department of Computer Science and Engineering, K.L.N. College of Engineering, Sivagangai, Tamilnadu, India. 23 Student, Department of Computer Science and Engineering, K.L.N. College of Engineering, Sivagangai, Tamilnadu, India.

Published Online: September-October 2024

Pages: 52-54

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References

1. Mian Muhammad Danyal, Sarwar Shah Khan, Muzammil Khan, Subhan Ullah, Muhammad Bilal Ghaffar, Wahab Khan,” Sentiment
Analysis of movie reviews based on NB approaches using TF-IDF and count vectorizer” Journal of Social Network Analysis and
Mining ,2024.
2. Zhanming Wen, Yanjun Chen, Hongwei Liu, Zhouyang Liang , “Text Mining Based Approach for Customer Sentiment and Product
Competitiveness Using Composite Online Review Data” Journal of Theoretical and Applied Electronic Commerce Research,2024.
3. Yarasu Madhavi Latha , B. Srinivasa Rao, “Amazon product recommendation system based on a modified convolutional neural
network” ETRI Journal ,2024.
4. Jihua Cao, Jie Li, Miao Yin & Yunfeng Wang,” Online Reviews Sentiment Analysis and Product Feature Improvement with Deep
Learning” ACM Journals,2023.
5. Manvee Chauhan,Divakar Yadav, ”Sentimental Analysis of Product Based Reviews using Machine Learning Approaches” Journal of
Network Communications and Emerging Technologies(JNCET),2015.

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