Introduction to Natural Language Processing (NLP) (Udemy.com)

Learn how to analyze text data.

( 275 Reviews )

Created by: Brian Sacash

Produced in 2018

What you will learn

Work with text data using the Natural Language Tool Kit.
Load and manipulate custom text data.
Analyze text to discover, sentiment, important key words, and statistics.

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 84 / 100

Course Description

This course introduces Natural Language Processing through the use of python and the Natural Language Tool Kit. Through a practical approach, you'll get hands on experience working with and analyzing text.
As a student of this course, you'll get updates for free, which include lecture revisions, new code examples, and new data projects.
By the end of this course you will:
Have an understanding of how to use the Natural Language Tool Kit.
Be able to load and manipulate your own text data.
Know how to formulate solutions to text based problems.
Know when it is appropriate to apply solutions such as sentiment analysis and classification techniques.
Who this course is for:
This course is for anyone who is not familiar with Natural Language Processing and is looking for a way to start.
This course is probably not for you if you already have an understanding of Natural Language Processing and the Natural Language Tool Kit.

Time: 3h

Instructor Details

Brian Sacash

4.2 Rating
275 Reviews

Brian has a BS in physics and MS in Quantitative Analysis from the University of Cincinnati with over 10 years experience in data analysis. Over the course of his career he has developed a skill set in natural language processing analysis and big data. He has helped solved data problems from the Department of Defense to global financial institutions. He previously was a consultant where he helped organizations understand their data through advanced analytics methods. Brian currently works on developing methods and software for large data systems.