Natural Language Processing Practice Tests For Beginners

Basic NLP, Text Processing, Syntactic Analysis, Semantics

Ratings: 0.00 / 5.00




Description

This course introduces Natural Language Processing Theories via practice Tests.

I am very grateful to NPTEL and Wikipedia from where I have learned a lot.

Natural Language Processing (NLP) is an emerging field where Human languages are processed using computers for better life. Like when we use voice search, audio data is being processed. It makes our life easier. Computer technologies are involved in this.

You will get ti know about Basic steps in NLP,  Text Processing steps like Tokenization, Empirical Laws, Language Models, Computational Morphological, Part-of-Speech (POS) tagging, Dependency based Syntactic Analysis, Probabilistic Context Free Grammar (PCGF), Distributional Semantic Analysis, Lexical Semantic Analysis, also Machine learning Perceptron Model. You will get to know about NLP steps via applying to Natural Languages too. This will help you to move forward in this area for further studies. Hope so you will enjoy this course.

Although this course is developed for beginners but you will get to know how and where NLP is applied and will make you feel comfortable to move ahead in this area. Those who have no knowledge in this area will also get to know a lot via Explanations provided.  Explanations have been provided to the best so that even non computer science field can enjoy this course.

Thank You and wish You a bright journey in this course. 

What You Will Learn!

  • Basic NLP
  • Text Processing
  • Syntactic Analysis
  • Semantic Analysis

Who Should Attend!

  • Beginner Data Scientists