A Gentle Introduction to Vector Space Models
Vector space models are to consider the relationship between data that are represented by vectors. It is popular in information retrieval systems but also useful for other purposes. Generally, this allows us to compare the similarity of two vectors from a geometric perspective.
In this tutorial, we will see what is a vector space model and what it can do.
After completing this tutorial, you will know:
- What is a vector space model and the properties of cosine similarity
- How cosine similarity can help you compare two vectors
- What is the difference between cosine similarity and L2 distance
Let’s get started.
