Résumé:
This master’s thesis focuses on the Sentiment Analysis for Arabic languages using
Advanced Deep Learning Techniques. The aim of this study is to develop an intelligent
system that can automatically predict the sentiment from Arabic text based on Natural language processing . Traditional manual analysis methods are time-consuming, costly, and
prone to human errors. By leveraging advancements in deep learning, Natural Language
processing, an AI-based system can provide accurate and real-time information about the
sentiment status of humans , enabling businesses to take preventive decision and optimize
their products and services quality. The proposed system combines deep learning techniques with Natural language processing to assist businesses in maintaining their gains
and reducing losses. This thesis presents the design, implementation, and evaluation of
the system, demonstrating its effectiveness in Sentiment Analysis for Arabic Language.
