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John Kang - NLP in Medicine: Word Embeddings and Research Grant Analysis

The MaML Podcast - Medicine & Machine Learning

CHAPTER

The Power of Word Embeddings in Natural Language Processing

In natural language processing, we can leverage pre-trained, pre-trained word embeddings. These are representations of words that have been trained on just billions of corpus of text basically. Word to back was developed by Google around 2011 and the concept there is that a word is the meaning of a word is defined by the surrounding words.

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