SVM-RideNN: hybrid support vector machine-rider neural network based sentiment analysis using product review

Publication typeJournal Article
Publication date2025-02-03
scimago Q4
SJR0.208
CiteScore2.6
Impact factor
ISSN1448837X, 2205362X
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Top-30

Journals

1
Australian Journal of Electrical and Electronics Engineering
1 publication, 100%
1

Publishers

1
Taylor & Francis
1 publication, 100%
1
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Sridhar A. S., Nagasundaram S. SVM-RideNN: hybrid support vector machine-rider neural network based sentiment analysis using product review // Australian Journal of Electrical and Electronics Engineering. 2025. pp. 1-13.
GOST all authors (up to 50) Copy
Sridhar A. S., Nagasundaram S. SVM-RideNN: hybrid support vector machine-rider neural network based sentiment analysis using product review // Australian Journal of Electrical and Electronics Engineering. 2025. pp. 1-13.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1080/1448837x.2024.2440170
UR - https://www.tandfonline.com/doi/full/10.1080/1448837X.2024.2440170
TI - SVM-RideNN: hybrid support vector machine-rider neural network based sentiment analysis using product review
T2 - Australian Journal of Electrical and Electronics Engineering
AU - Sridhar, A S
AU - Nagasundaram, S.
PY - 2025
DA - 2025/02/03
PB - Taylor & Francis
SP - 1-13
SN - 1448-837X
SN - 2205-362X
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Sridhar,
author = {A S Sridhar and S. Nagasundaram},
title = {SVM-RideNN: hybrid support vector machine-rider neural network based sentiment analysis using product review},
journal = {Australian Journal of Electrical and Electronics Engineering},
year = {2025},
publisher = {Taylor & Francis},
month = {feb},
url = {https://www.tandfonline.com/doi/full/10.1080/1448837X.2024.2440170},
pages = {1--13},
doi = {10.1080/1448837x.2024.2440170}
}