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Modern R Programming Cookbook

You're reading from   Modern R Programming Cookbook Recipes to simplify your statistical applications

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781787129054
Length 236 pages
Edition 1st Edition
Languages
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Author (1):
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Jaynal Abedin Jaynal Abedin
Author Profile Icon Jaynal Abedin
Jaynal Abedin
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Toc

Table of Contents (10) Chapters Close

Preface 1. Installing and Configuring R and its Libraries FREE CHAPTER 2. Data Structures in R 3. Writing Customized Functions 4. Conditional and Iterative Operations 5. R Objects and Classes 6. Querying, Filtering, and Summarizing 7. R for Text Processing 8. R and Databases 9. Parallel Processing in R

Importing unstructured text data from a plain text file

In some cases, it could happen that your source text data has been stored in a plain text (.txt) file. In this type of situation, if you want to do any kind of text analytics, you have to import plain text data into the R environment. In this recipe, you will import plain text data from a .txt file and store it into an object of class text.

Getting ready

Suppose you have stored a text file containing a newspaper article or several abstracts related to a particular topic. In this example, you will use a text file that contains 10 abstracts retrieved from PubMed by doing a literature search with the keyword term "Deep Learning". The filename is deapLearning.txt...

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