Basic statistical features for NLP
In the last section, we looked at most of the NLP concepts, tools, and algorithms that can be used to derive features. Now it's time to learn about some statistical features as well. Here, we will explore the statistical aspect. You will learn how statistical concepts help us derive some of the most useful features.
Before we jump into statistical features, as a prerequisite, you need to understand basic mathematical concepts, linear algebra concepts, and probabilistic concepts. So here, we will seek to understand these concepts first and then understand the statistical features.
Basic mathematics
We will begin with the basics of linear algebra and probability; this is because we want you to recall and memorize the necessary concepts so it will help you in this chapter as well as the upcoming chapters. We will explain the necessary math concepts as and when needed.
Basic concepts of linear algebra for NLP
In this section, we will not look at all the linear algebra...
