Understanding the role of vectors in natural language processing

Understanding the role of vectors in natural language processing. In this blog, we are going to see the role of vectors in natural language processing.

Natural Language Processing:

It is the subfield of artificial intelligence that is used to process, understand, and analyze human language by the machine. There is an enormous amount of applications in NLP like machine translation, speech to text, text to speech recognition, spam message classification, etc,…

In this blog, we are going to see the role of vectors in natural language processing.

Before diving into NLP, let’s see what is a vector in terms of linear algebra

Vector:

Vector is a list of attributes of an object. In simple terms, it is a list of numbers. It is the way of identifying a point in space ( maybe two or more dimensional space)

Vector (a1,a2) in 2d co-ordinate

Matrix:

A matrix is an object that contains a set of vectors.

If I have two vectors in the form of

2x + 3y

&

4x + 5y

The matrix will be like

[ 2 3

4 5 ]

Now we will see why we are using the concept of vector spaces in natural language processing.

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