Dive Into Word2Vec 🌊
Word2Vec is a group of related models that are used to produce word embeddings. These models are shallow, two-layer neural networks that are trained to reconstruct linguistic contexts of words. Developed by Google, these models have been quite influential in the field of natural language processing.
Why Use Word2Vec?
This method captures contextual and semantic relationships between words in a numerical form, aiding machines in understanding language more effectively. Whether you are categorizing documents or working on sentiment analysis, Word2Vec has proven to be an invaluable tool.
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