MohamedAliHabib/easyLearn-Arabic-Text-Recommender-System
Building, Training and Testing Doc2Vec and Word2Vec (Skip-Gram) Model Using Gensim Library for Recommending Arabic Text.
This project helps anyone working with Arabic text automatically suggest other relevant Arabic documents or articles. By analyzing your existing collection of Arabic texts, it learns the relationships between words and documents, allowing you to input one text and receive suggestions for others that discuss similar topics or ideas. This is ideal for content managers, researchers, or educators dealing with large volumes of Arabic written material.
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Use this if you need to quickly find related Arabic documents within a large collection without manually sifting through them.
Not ideal if your primary need is for recommendations based on user behavior or external data sources rather than just the text content itself.
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Jupyter Notebook
License
MIT
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Last pushed
Dec 29, 2018
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