K-Nearest Neighbors
Explore how to apply K-nearest neighbors to identify words with similar embeddings by computing cosine similarities. Understand how this technique helps evaluate and interpret word embedding models using TensorFlow, enabling you to analyze word relationships effectively in NLP tasks.
We'll cover the following...
We'll cover the following...
Chapter Goals:
Learn about K-nearest neighbors in terms of word similarity
Create a function that computes the K-nearest neighbors for a given word
A. Similar words
When comparing cosine similarities for word embeddings, a common procedure is to find the K-nearest neighbors for a given word. This means that for a given a word ...