Using Sentiment Analysis to Spot Trending Products-Reference-Cited by-同舟云学术

Using Sentiment Analysis to Spot Trending Products

Published:2023-10-14 Issue: Volume: Page:
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Container-title:2023 Sixth International Conference on Vocational Education and Electrical Engineering (ICVEE)
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Author:

Darraz Nossayba¹,Karabila Ikram¹,El-Ansari Anas²,Alami Nabil³,Lazaar Mohamed⁴,Mallahi Mostafa El¹

Affiliation:

1. Sidi Mohamed Ben Abdellah University,High Normal School,Department of Mathematics and Computer Science, IPI Laboratory,Fez,Morocco

2. Mohammed First University,Polydisciplinary Faculty,Computer Science Department, MASI Laboratory,Nador,Morocco

3. Mohammed First University,Higher School of Technology, MASI Laboratory,Nador,Morocco

4. Mohamed V University,ENSIAS,Rabat,Morocco

Publisher

IEEE

Link

Reference24 articles.

1. A novel approach for opinion spam detection in e-commerce;Shirin

5. The impact of natural language preprocessing on big data sentiment analysis;Khader;Int. Arab J. Inf. Technol,2019

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2. Improving Hybrid Recommendations with VADER-Powered Sentiment Analysis^*;2024 International Conference on Intelligent Systems and Computer Vision (ISCV);2024-05-08

3. A novel E-commerce recommender system using deep learning approaches*;2024 International Conference on Intelligent Systems and Computer Vision (ISCV);2024-05-08

4. Optimizing Hybrid Recommendations: VADER-Enhanced Sentiment Analysis;Proceedings of the 7th International Conference on Networking, Intelligent Systems and Security;2024-04-18

5. Enhanced E-commerce Recommender System Based on Deep Learning and Ensemble Approaches;Proceedings of the 7th International Conference on Networking, Intelligent Systems and Security;2024-04-18