From the course: Advanced NLP with Python for Machine Learning
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What makes word2vec powerful? - Python Tutorial
From the course: Advanced NLP with Python for Machine Learning
What makes word2vec powerful?
- [Instructor] So we now know that word2vec converts words into numeric vectors, which allows you to do many things with a corpus of text. One of those things is to build a machine learning model on top of those word vectors, which we'll discuss in later videos. But we'll put that aside for now to discuss some really interesting attributes of these word vectors. So, as a reminder, here's the diagram we looked at illustrating how a word2vec model is a two-layer neural network that will convert a list of words into a list of numeric vectors. We also discussed the skip-gram method, which uses the context in which a word is used to learn the meaning of a word and convert it to a numeric vector. The beauty of using the context in which a word is used is it allows a model to understand similar words. For instance, you could replace "brown" with "orange", and the word vector's going to be nearly identical because "brown" and…
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