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

• Executives

• Programmers

• 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

NLTK

• 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