Part 14: Step by Step Guide to Master NLP – Basics of Topic Modelling

This article was published as a part of the Data Science Blogathon

Introduction

This article is part of an ongoing blog series on Natural Language Processing (NLP). In this series, we completed our discussion on the entity extraction technique “Named Entity Recognition (NER)”. But at that time, we didn’t discuss another popular entity extraction technique called Topic Modelling. So, in continuation of that article, we will discuss Topic modelling in this article.

In this article, we will discuss firstly some of the basic concepts related to Topic Modelling. Probably, from the next articles, we will discuss some of the popular techniques to implement Topic Modelling.

This is part-14 of the blog series on the Step by Step Guide to Natural Language Processing.

 

Table of Contents

1. What is meant by Topics in NLP?

2. What is Topic Modelling?

3. What is the Importance of Topic Modelling?

4. What are the Objectives of Topic Modelling?

5. How does Topic modelling Works?

 

 

 

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