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Hybrid method for text summarization based on statistical and semantic treatment

Multimedia tools and applications, 2021-05, Vol.80 (13), p.19567-19600

2021

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Enhancing Collaborative Filtering-Based Recommender System Using Sentiment Analysis

Future internet, 2023-07, Vol.15 (7), p.235

2023

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Enhancing unsupervised neural networks based text summarization with word embedding and ensemble learning

Expert systems with applications, 2019-06, Vol.123, p.195-211

2019

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Classification of Fetal State using Machine Learning Models

E3S Web of Conferences, 2022, Vol.351, p.1027

2022

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Unsupervised neural networks for automatic Arabic text summarization using document clustering and topic modeling

Expert systems with applications, 2021-06, Vol.172, p.114652, Article 114652

2021

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Integrated sentiment analysis with BERT for enhanced hybrid recommendation systems

Expert systems with applications, 2025-02, Vol.261, p.125533, Article 125533

2025

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Epuisement scolaire et dépression

The Journal of Quality in Education, 2017-08, Vol.5 (6), p.7

Alami, Nabil

2017

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IMPACT OF DIGITAL TRANSFORMATION ON COOPERATIVES’ RESILIENCE IN THE FACE OF THE HEALTH CRISIS: CASE OF COOPERATIVES IN THE AZILAL PROVINCE

International Journal of Performance and Organizations, 2023-06, Vol.2 (1), p.30-36

2023

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Addressing data sparsity and cold-start challenges in recommender systems using advanced deep learning and self-supervised learning techniques

Journal of experimental & theoretical artificial intelligence, 2024-09, p.1-31

2024

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BERT-enhanced sentiment analysis for personalized e-commerce recommendations

Multimedia tools and applications, 2023-12, Vol.83 (19), p.56463-56488

2023

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Detecting trending products through moving average and sentiment analysis

Multimedia tools and applications, 2024-05

2024

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Using Unsupervised Deep Learning for Automatic Summarization of Arabic Documents

Arabian journal for science and engineering (2011), 2018-12, Vol.43 (12), p.7803-7815

2018

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SERIOUS GAMES TO TEACH EMOTION RECOGNITION TO CHILDREN WITH AUTISM SPECTRUM DISORDERS (ASD)

Acta neuropsychologica (Warszawa), 2021-01, Vol.19 (1), p.81-92

2021

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Arabic Biomedical Community Question Answering Based on Contextualized Embeddings

International journal of intelligent information technologies, 2021-07, Vol.17 (3), p.1-17

2021

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Exploring Sentiment and Topic Patterns in Metaverse Marketplace-Related Tweets

2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS), 2023, p.1-7

2023

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Automatic Texts Summarization: Current State of the Art

Journal of Asian scientific research (Online), 2015, Vol.5 (1), p.1-15

2015

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Using Statistical and Semantic Analysis for Arabic Text Summarization

International Conference on Information Technology and Communication Systems, p.35-50

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Field and Current Formulation for Radio Frequency Antennas

IEEE transactions on magnetics, 2010-08, Vol.46 (8), p.3325-3328

2010

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Survey of the prevalence of burnout and depression among high school students

International Journal of Applied Research, 2020-08, Vol.6 (8), p.348-351

2020

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A novel E-commerce recommender system using deep learning approaches

2024 International Conference on Intelligent Systems and Computer Vision (ISCV), 2024, p.1-8

2024

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Improving Hybrid Recommendations with VADER-Powered Sentiment Analysis

2024 International Conference on Intelligent Systems and Computer Vision (ISCV), 2024, p.1-7

2024

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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, p.1-8

2024

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Optimizing Hybrid Recommendations: VADER-Enhanced Sentiment Analysis

Proceedings of the 7th International Conference on Networking, Intelligent Systems and Security, 2024, p.1-7

2024

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Recommendation system using Deep Learning-based sentiment analysis

2023 Sixth International Conference on Vocational Education and Electrical Engineering (ICVEE), 2023, p.41-47

2023

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Using Sentiment Analysis to Spot Trending Products

2023 Sixth International Conference on Vocational Education and Electrical Engineering (ICVEE), 2023, p.48-54

2023

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Hybrid method for text summarization based on statistical and semantic treatment

Enhancing Collaborative Filtering-Based Recommender System Using Sentiment Analysis

Enhancing unsupervised neural networks based text summarization with word embedding and ensemble learning

Classification of Fetal State using Machine Learning Models

Unsupervised neural networks for automatic Arabic text summarization using document clustering and topic modeling

Integrated sentiment analysis with BERT for enhanced hybrid recommendation systems

Epuisement scolaire et dépression

IMPACT OF DIGITAL TRANSFORMATION ON COOPERATIVES’ RESILIENCE IN THE FACE OF THE HEALTH CRISIS: CASE OF COOPERATIVES IN THE AZILAL PROVINCE

Addressing data sparsity and cold-start challenges in recommender systems using advanced deep learning and self-supervised learning techniques

BERT-enhanced sentiment analysis for personalized e-commerce recommendations

Detecting trending products through moving average and sentiment analysis

Using Unsupervised Deep Learning for Automatic Summarization of Arabic Documents

SERIOUS GAMES TO TEACH EMOTION RECOGNITION TO CHILDREN WITH AUTISM SPECTRUM DISORDERS (ASD)

Arabic Biomedical Community Question Answering Based on Contextualized Embeddings

Exploring Sentiment and Topic Patterns in Metaverse Marketplace-Related Tweets

Automatic Texts Summarization: Current State of the Art

Using Statistical and Semantic Analysis for Arabic Text Summarization

Field and Current Formulation for Radio Frequency Antennas

Survey of the prevalence of burnout and depression among high school students

A novel E-commerce recommender system using deep learning approaches

Improving Hybrid Recommendations with VADER-Powered Sentiment Analysis

Enhanced E-commerce Recommender System Based on Deep Learning and Ensemble Approaches

Optimizing Hybrid Recommendations: VADER-Enhanced Sentiment Analysis

Recommendation system using Deep Learning-based sentiment analysis

Using Sentiment Analysis to Spot Trending Products

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