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This notebook explores the application of Regex and embedding techniques in Arabic Natural Language Processing (NLP). It covers the use of regular expressions for text parsing tasks and delves into various word embedding methods, including Word2Vec and FastText, for semantic analysis and representation of Arabic text data.