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NLP is the use of machine learning algorithms for problems that involve text.
Recently, Microsoft’s Twitter bot “Tay” was released into the wild, and quickly began making racist and hateful statements after learning from other Twitter users. The technology behind this? Natural language processing.
Do you ever wonder why you get much less spam in your inbox these days compared to 10 years ago? What kinds of algorithms are people using to do spam detection? How can they take words in an email and know how to compute whether or not it’s spam? In this book you are going to build your very own spam detector.
Did you know people have already used Twitter to determine the current sentiment about a particular company to decide whether or not they should buy or sell stocks? Having a machine that can decide how people feel about something is immensely useful and immediately applicable to revenue optimization. In this course you are going to build your own sentiment analyzer.
Are you an Internet marketer or are you interested in SEO? Have you ever wanted to know how you can automatically generate content? In this course we are going to take a first crack at building your own article spinner. You’ll learn to write programs that can take an article as input and spit out a similar article with different words as output. This can save you tons of time and thousands of dollars if you’re paying someone to write content for you.
Natural Language Processing, or as it is often abbreviated, NLP - is the use of programming and math to do language-based tasks.
If you have Windows or iOS then you have NLP right in front of you! Cortana and Siri are applications that take what you say and turn it into something meaningful that can be done programmatically.
The key point: NLP is highly practical. NLP is everywhere.
This book is split up into multiple sections based on the various practical tasks that you can do with NLP: