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  2. Natural Language Processing
Natural Language Processing

Natural Language Processing

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مادة نظرية

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The course aims to teach the theoretical and applied foundations of text and natural language processing. It covers core topics such as text analysis, language models such as BERT, and entity recognition. Emphasis is placed on building applications such as machine translation systems, question answering, and sentiment analysis using Python libraries such as NLTK and spacy

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Category:   مادة نظرية

Language:   English Language

Number of Lessons:   0 Lesson

Number of Students:   0 Student

Level:   المستوى الاول