Sentiment Analysis Using an Ensemble Approach on Flipkart Societal Media Data-Reference-Cited by-同舟云学术

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Sentiment Analysis Using an Ensemble Approach on Flipkart Societal Media Data

Published:2024-02-24 Issue: Volume:18 Page:1-6
ISSN:
Container-title:2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)
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Author:

Nema Neetesh Kumar¹,Shukla Vivek²,Tandan S. R.³,Pimpalkar Amit⁴,Miri Rohit⁵,Soni Vishnukant¹

Affiliation:

1. Dr. C. V. Raman University,Bilaspur,C.G.,India

2. Dr. C. V. Raman University,Department of Computer Science and Engineering,Bilaspur,C.G.,India

3. Government R. V. R. S. Kanya Mahavidyalaya,Department of Computer Science,Kawardha,C.G.,India

4. Shri Ramdeobaba College of Engineering and Management,Department of Computer Science and Engineering (AIML),Nagpur,India

5. UTD, CSVTU,Department of Computer Science and Engineering,Bhilai,C.G.,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10481805/10481679/10482343.pdf?arnumber=10482343

Reference15 articles.

1. Aspect-based sentiment analysis on multi-domain reviews through word embedding

2. Application of Sentiment Analysis on Product Review E-Commerce

3. Sentiment Analysis of Product Reviews to Identify Deceptive Rating Information in Social Media: A SentiDeceptive Approach

4. Sentiment Analysis in Social Media and Its Application: Systematic Literature Review

5. dPromoter-XGBoost: Detecting promoters and strength by combining multiple descriptors and feature selection using XGBoost

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