A Hybrid Optimized Model for Opinion Mining with Dual Weightage Aspects-Reference-Cited by-同舟云学术

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A Hybrid Optimized Model for Opinion Mining with Dual Weightage Aspects

Published:2023-11-22 Issue: Volume: Page:125-132
ISSN:
Container-title:2023 Seventh International Conference on Image Information Processing (ICIIP)
language:
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Author:

Gupta Shilpi¹,Singhal Niraj²,Gupta Gaurav³,Tomar Abhishek³

Affiliation:

1. (Deemed to-be University),Shobhit Institute of Engineering & Technology,Meerut,INIDA,250110

2. Chaudhary Charan Singh University,Sir Chhotu Ram Institute of Engineering & Technology,Meerut,India,250001

3. Shoolini University of Biotechnology and Management Sciences,Yogananda School of Artificial Intelligence, Computers and Data Science,Solan,HP,INDIA,173229

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10537602/10537618/10537748.pdf?arnumber=10537748

Reference25 articles.

1. Attention-based position-aware framework for aspect-based opinion mining using bidirectional long short-term memory

2. Weighted aspect-based opinion mining using deep learning for recommender system

3. Recommendation system exploiting aspect-based opinion mining with deep learning method

4. Aspect-based opinion mining framework using heuristic patterns

5. A hybrid of XGBoost and aspect-based review mining with attention neural network for user preference prediction

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