Word2Vec Vectorizer in Natural Language Processing
In natural language processing, Word2Vec is one of the most widely used vectorization techniques used for transferring words or textual data into vector or numerical form to feed it to the machine learning model and train the model. It has certain advantages over the BagofWords and TfIdf vectorizers which make more advanced and accurate vectorization …
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