A Hybrid Machine Learning Approach for Sentiment Analysis of Beauty Products Reviews-Reference-Cited by-同舟云学术

A Hybrid Machine Learning Approach for Sentiment Analysis of Beauty Products Reviews

Published:2022-02-19 Issue:37 Volume:10 Page:1-10
ISSN:2322-1437
Container-title:Journal of Information Systems and Telecommunication (JIST)
language:en
Short-container-title:jist

Author:

Jindal Kanika,Aron Rajni

Publisher

CMV Verlag

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Computer Vision and Pattern Recognition,Information Systems

Reference27 articles.

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3. [3] J. Park, "Framework for Sentiment-Driven Evaluation of Customer Satisfaction With Cosmetics Brands", IEEE Access, vol. 8, pp. 98526-98538, 2020. DOI: 10.1109/access.2020.2997522.

4. [4] N. Nandal, R. Tanwar and J. Pruthi, "Machine learning based aspect level sentiment analysis for Amazon products", Spatial Information Research, vol. 28, no. 5, pp. 601-607, 2020. DOI: 10.1007/s41324-020-00320-2.

5. [5] M. Hu and B. Liu, “Mining and summarizing customer reviews,” KDD-2004 - Proc. Tenth ACM SIGKDD Int. Conf. Knowl. Discov. Data Min., pp. 168–177, 2004, DOI: 10.1145/1014052.1014073.

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