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Word embedding pipeline used to vectorize all kinds of text

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Text Vectorization

Applying text vectorization in databases using Word Embedding model in Python. This project was made as final project for SME0142 - Linear Algebra and Applications class as a method of study about mapping words in text to vectors in a finite real vector space.

All the needed information, documentation and the main pipeline can be found into the python notebook file, together with the references we've used.

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Word embedding pipeline used to vectorize all kinds of text

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