A Proposed System for Understanding the Consumer Opinion of a Product Using Sentiment Analysis-Reference-Cited by-同舟云学术

A Proposed System for Understanding the Consumer Opinion of a Product Using Sentiment Analysis

Published:2023 Issue: Volume: Page:555-568
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Martis Eesha,Deo Rutuja,Rastogi Sejal,Chhaparia Keshav,Biwalkar Ameyaa

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-5443-6_42

Reference29 articles.

1. Kaur, H., & Mangat, V. (2017, February). A survey of sentiment analysis techniques. In 2017 International conference on I-SMAC (IoT in social, mobile, analytics and cloud) (I-SMAC) (pp. 921–925). IEEE.

2. Sudhir, P., & Suresh, V. D. (2021). Comparative study of various approaches, applications and classifiers for sentiment analysis. Global Transitions Proceedings.

3. Kottursamy, K. (2021). A review on finding efficient approach to detect customer emotion analysis using deep learning analysis. Journal of Trends in Computer Science and Smart Technology, 3(2), 95–113.

4. Jagdale, R. S., Shirsat, V. S., & Deshmukh, S. N. (2019). Sentiment analysis on product reviews using machine learning techniques. In Cognitive informatics and soft computing (pp. 639–647). Springer.

5. Safrin, R., Sharmila, K. R., Subangi, T. S., & Vimal, E. A. (2017). Sentiment analysis on online product review. International Research Journal of Engineering and Technology (IRJET), 4(04).

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