Optimizing Hybrid Recommendations: VADER-Enhanced Sentiment Analysis-Reference-Cited by-同舟云学术

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Optimizing Hybrid Recommendations: VADER-Enhanced Sentiment Analysis

Published:2024-04-18 Issue: Volume: Page:1-7
ISSN:
Container-title:Proceedings of the 7th International Conference on Networking, Intelligent Systems and Security
language:
Short-container-title:

Author:

Darraz Nossayba¹^ORCID,Karabila Ikram²^ORCID,EL-Ansari Anas³^ORCID,Alami Nabil⁴^ORCID,El mallahi Mostafa²^ORCID

Affiliation:

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

2. Department of Mathematics and Computer Science / High Normal School / IPI laboratory, Sidi Mohamed Ben Abdellah University, Morocco

3. Computer Science Department / Polydisciplinary Faculty / MASI laboratory, Mohammed First University, Morocco

4. Higher School of Technology / MASI laboratory, Mohammed First University, Morocco

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3659677.3659748

Reference16 articles.

1. [n. d.]. Yelp reviews dataset. https://data.world/brianray/yelp-reviews/workspace/file?filename=yelp_training_set_review.csv.

2. F. Alghamedy and J. Zhang. 2019. Imputation strategies for cold-start users in nmf-based recommendation systems. In Proceedings of the 2019 3rd International Conference on Information System and Data Mining. 119–128.

3. Restaurant recommender system based on sentiment analysis

4. Using Hybrid Deep Learning Models of Sentiment Analysis and Item Genres in Recommender Systems for Streaming Services

5. Using Sentiment Analysis to Spot Trending Products

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