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Natural Language Processing using Python Practice Exam Questions

Natural Language Processing using Python Practice Exam 

Python is a high-level programming language and NLP (Natural language processing) deals with the development of applications and services that can understand human languages like voice search. Nowadays, the NLTK toolkit in Python programming language is being widely used for natural language processing by organisations. Thus, this certification exam is proof of one programming skill.

Skills required

Mathematical skills

Analytical skills

Problem-solving ability

Basic knowledge of programming

Writing skills

Target Audience

This exam is intended for the following people-

IT professionals

Senior managers



Web developers

Topics Covered

The Natural Language Processing using Python Practice Exam covers the following topics - 

NLP and Python

Installation and Setting Up of NLTK

Implementation of Simple NLP Tasks 

Exploring NLTK Libraries

Part-Of-Speech Tagging

Understanding Stemming and Lemmatization

Named Entity Recognition


Knowledge of Frequency Distribution with NLTK

Understanding Frequency Distribution on Your Text with NLTK

About Concordance Function 

What is Similar Function?

Knowing the Dispersion Plot Function 

Count Function 

Building one’s Own NLP Application Using Python NLTK

Introducing Recurrent Neural Network along with Long Short-Term Memory

Programming one’s own Sentiment Classifier with the use of NLTK

Performing Sentiment Classification on a Movie Rating Dataset

Latent Semantic Analysis

Beginning with Latent Semantic Analysis

Programming Example of Singular Value Decomposition

Programming Example of Principal Component Analysis

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