Text Preprocessing made easy!

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


We will learn the basics of text preprocessing in this article.

Humans communicate using words and hence generate a lot of text data for companies in the form of reviews, suggestions, feedback, social media, etc. A lot of valuable insights can be generated from this text data and hence companies try to apply various machine learning or deep learning models to this data to gain actionable insights. Text preprocessing is used to prepare raw unstructured text data for further processing.

Text preprocessing is required to transform the text into an understandable format so that ML algorithms can be applied to it.

Why text preprocessing is required

If we don’t preprocess the text data then the output of the algorithm built on top of it would be meaningless. It will not hold any business value. The output of the algorithm would be garbage(useless) like its input data(garbage).

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