编程书|Natural Language Processing in Python

               

LazyProgrammer, “Natural Language Processing in Python:
Master Data Science and Machine Learning for spam detection, sentiment
analysis, latent semantic analysis, and article spinning”  
2016 | ASIN: B01FTJLKYQ | 54 pages | EPUB | 1 MB  

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:

The first programming exercise we’ll do is look at how to build a spam detector. Your email inbox uses this, so it’s clearly very useful and it’s been the subject of study for a long time.
Next we’ll look at “sentiment analysis” and you’ll build your own “sentiment analyzer”. This is how a computer can judge how positive or negative
some text is based on the words and phrases that are used. This is also
immediately practical – some people have analyzed Twitter feeds to
predict whether a stock would go up or down.
After that we’ll look at the NLTK library. This is a very popular library that solves a lot of fundamental problems in NLP – and you can use it in conjunction with other libraries in your data analysis pipeline.
Next we’ll look at “latent semantic analysis”. This is basically doing dimensionality reduction on text – and it helps us solve the problem of 2 words having
the same meaning. It also helps us interpret our data and save on computation time.
Lastly, we’ll talk about one of the most popular applications of NLP – article spinning. This is very practical for internet marketers and entrepreneurs. As you know, your search rankings in Google and other search engines are affected negatively when you have duplicate content – so it would be great if you could alter an article you wrote just enough, so that you could put it in 2 different places on the web, without being penalized by Google.

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