April 2017
Beginner to intermediate
420 pages
9h 58m
English
There are many different methods to use in text mining. The goal here is to provide a basic framework to apply to such an endeavor. This framework is not all-inclusive of the possible methods but will cover those that are probably the most important for the vast majority of projects that you will work on. Additionally, I will discuss the modeling methods in as succinct and clear a manner as possible, because they can get quite complicated. Gathering and compiling text data is a topic that could take up several chapters. Therefore, let's begin with the assumption that our data is available from Twitter, a customer call center, scraped off the web, or whatever, and is contained in some sort of text file or ...
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