Deep Bidirectional LSTM Network Learning-Based Sentiment Analysis for Tunisian Dialectical Facebook Content During the Spread of the Coronavirus Pandemic

Application of bidirectional LSTM deep learning technique for sentiment analysis of COVID-19 tweets: post-COVID vaccination era

Abstract Background Social media platforms, especially Twitter,

Development and Evaluation of a Bidirectional LSTM Classifier for Sentiment Analysis in the Hausa Language

Deep Learning-Based Sentiment Analysis of Algerian Dialect during Hirak 2019

Deep Learning-Based Recommender System for Arabic Content with Integrated Sentiment Analysis of User Reviews

Recommender systems are widely used as an information filtering technology to automatically predict

Deep learning approach for Tunisian hate Speech detection on Facebook

E-learning for Physical Education Students During Coronavirus Pandemic

Topicality.The Corona virus, which appeared at the end of December 2019, expanded and spread through