Introduction to Text processing

Introduction to Text processing

Welcome to the article on Introduction to text processing, where you will learn both the concept behind NLP as well as its implementation in coming articles. ?it would be my humble request if you are fresher to NLP to go through the previous two Articles to get a better idea.

My name is Jagdish Chavan working as a working Data Scientist with a total experience of 2.8 years at the time of writing this article out of which 1.8 years is purely dedicated to Data Science, ML, and DL.

You might not be familiar with this term before, but chances are that the apps or services that you use daily carry out text processing under the hood whenever you use them. As we are generating data every time you search, tweet or start a chat conversion leave the review etc. Text data has become essential for businesses to derive insights that illustrate how their customers by search interact with the online world.

Q) What is Text Processing?

  • Text Processing means the analysis, manipulation and generation of text.
  • It is an automated process which analyzes data for getting structured information.
  • It includes extracting smaller bits of information from text data and assigning tags depending on their context.

Q) What are the methods and techniques to analyze text data ?

Statistical Methods

  • We use statistical methods such as frequency distribution and TF-IDF to process and analyze text.

Text Classification

  • Text Classification classifies text into predefined groups based on its context, Popular models include Topic Analysis, Sentiment Analysis, intent detection and language classification.

Text Extraction

  • Text extraction is a text processing technique that identifies and obtains valuable pieces of data that are present within the text.
  • This method helps us to detect and extract the relevant words or expressions from the text.

I hope you got a basic understanding of text processing and know how important it is, in the next article, we will look at python libraries that are used for NLP

Finally, one request if you like what you read and acquire knowledge about feel free to share the article with your Friends, Colleagues, students or anyone you might think will benefit from this. sharing is caring.


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