Pre-Processing of Text Data in NLP

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

Introduction

In today’s life, a large amount of raw data is available in every sector in the form of text, audio, videos, etc. This data can be used to analyze a wide range of factors which can be used further to make some decisions or predictions. But for this, the raw data has to organize or summarized for getting better outcomes.

Here comes the role of NLP, which is a branch of data science that helps to analyze, organize or summarize the text data so that useful information can be fetched out from it and can be used to make business decisions.

NLP consists of a systematic process to organize the massive data and help to solve the numerous automated tasks in various fields like – machine translation, speech recognition, automatic summarization, etc.

So, in this article, we are going to study the major applications of NLP along with the pre-processing of text data using NLP.

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