Cosine similarity has several real-world applications, and by using embedding vectors, we can compare real-world meanings in a programmatic manner. Python is one of the most popular languages for data science, and it offers various libraries to calculate cosine similarity with ease. In this article, we’ll discuss how you can implement cosine similarity in Python using the help of Scikit-Learn and NumPy libraries.
What Is Cosine Similarity?
Cosine similarity is a measure of similarity between two non-zero vectors in an n-dimensional space. It is used in various applications, such as text analysis and recommendation systems, to determine how similar two vectors are in terms of their direction in the vector space.