Training notebooks and API to Arabic Autocomplete project
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Updated
Jan 30, 2022 - Jupyter Notebook
Training notebooks and API to Arabic Autocomplete project
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.
Implementation of many Arabic NLP and CV projects. Providing real time experience using many interfaces like web, command line and notebooks.
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