Overview: Word Vectors and Semantic Similarity
Explore how word vectors capture semantic meaning by analyzing word contexts. Understand distributional semantics and apply spaCy's pre-trained and external vectors to compute similarity, analogies, and advanced semantic similarity methods for better NLP applications.
We'll cover the following...
We'll cover the following...
Word vectors are handy tools and have been the hot topic of NLP for almost a decade. A word vector is basically a dense representation of a word. What's surprising about these vectors is that semantically similar words have similar word vectors. Word vectors are great for semantic similarity applications, such as calculating the similarity between ...