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Coupon & course info

Course Name: Easy Natural Language Processing in Python

Subtitle: A-Z guide to practical NLP: spam detection, sentiment analysis, article spinners, and latent semantic analysis.

Instructor: Taught by Justin C, Data scientist and big data engineer

Category: Business

Subcategory: Data & Analytics

Provided by: Udemy

Price: $49 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of March 9, 2016…

Students: 22077 students enrolled

Ratings: 12 reviews

Rank: ranked #167 in Udemy Business Courses

Brief course description

In this course you will build MULTIPLE practical systems using natural language processing, or NLP. This course is not part of my deep learning series, so there are no mathematical prerequisites – just straight up coding in Python. All the materials for this course are FREE.

After a brief discussion about what NLP is and what it can do, we will begin building very useful stuff. The first thing we’ll build is a spam detector. You likely get very little spam these days, compared to say, the early 2000s, because of systems like these.

Next we’ll build a model for sentiment analysis in Python. This is something that allows us to assign a score to a block of text that tells us how positive or negative it is. People have used sentiment analysis on Twitter to predict the stock market.

(Read more about this course on the official course page.)

Justin C bio

I am a data scientist, big data engineer, and full stack software engineer.

(Learn more about this instructor on the official course page.)

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Final details for this Udemy course

Languages: English

Skill level: All Levels

Lectures: 18 lessons

Duration: 1.5 Hours of video

What you get: Write your own spam detection code in Python

Target audience: Students who are comfortable writing Python code, using loops, lists, dictionaries, etc.

Requirements: Install Python, it’s free!

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons