Natural Language Processing using Python

Course details

Python is an interpreted, high-level, general-purpose programming language. Natural language processing (NLP) is about developing applications and services that are able to understand human languages like voice search. NLTK toolkit in Python programming language has been extensively being used for natural language processing by companies and offers immense opportunities for your career. The certification acts as a proof of your skills on professional social media like LinkedIn and for better job prospects.

Note: Please note that the course comes with online e-learning (videos) only. No hard copy will be provided.

Why should one take Certificate in Natural Language Processing using Python?
This Course is intended for professionals and graduates wanting to excel in their chosen areas. It is also well suited for those who are already working and would like to take certification for further career progression.

Earning Vskills Certificate in Natural Language Processing using Python Certification can help candidate differentiate in today's competitive job market, broaden their employment opportunities by displaying their advanced skills, and result in higher earning potential.

Who will benefit from taking NLP using Python Certification?
Job seekers looking to find employment in IT departments or software development of various companies, students generally wanting to improve their skill set and make their CV stronger and existing employees looking for a better role can prove their employers the value of their skills through this certification. Certification is also apt for senior management, executives to better understand the upcoming domain of Natural Language Processing using Python programming language.
 
Benefits of Certification

• Government certification
• Certification valid for life
• Lifelong e-learning access
• Learning Hours: 12+ hrs

How It Works

1. Select Certification & Register
2. Receive Online e-Learning Access (LMS)
3. Take exam online anywhere, anytime
4. Get certified & Increase Employability

Test Details

• Duration: 60 minutes
• No. of questions: 50
• Maximum marks: 50, Passing marks: 25 (50%).
• There is NO negative marking in this module.
• Online exam.

 
TABLE OF CONTENT

NLP and Python

• Installing and Setting Up NLTK
• Implementing Simple NLP Tasks and Exploring NLTK Libraries
• Part-Of-Speech Tagging
• Stemming and Lemmatization
• Named Entity Recognition

NLTK

• Frequency Distribution with NLTK
• Frequency Distribution on Your Text with NLTK
• Concordance Function in NLTK
• Similar Function in NLTK
• Dispersion Plot Function in NLTK
• Count Function in NLTK

Building Your Own NLP Application Using Python NLTK

• Introduction to Recurrent Neural Network and Long Short Term Memory
• Programming Your Own Sentiment Classifier Using NLTK
• Perform Sentiment Classification on a Movie Rating Dataset

Latent Semantic Analysis

• Starting with Latent Semantic Analysis
• Programming Example of Principal Component Analysis
• Programming Example of Singular Value Decomposition

Updated on 05 June, 2024 - Read Less