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R Programming By Example

You're reading from   R Programming By Example Practical, hands-on projects to help you get started with R

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788292542
Length 470 pages
Edition 1st Edition
Languages
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Authors (2):
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Omar Trejo Navarro Omar Trejo Navarro
Author Profile Icon Omar Trejo Navarro
Omar Trejo Navarro
Omar Trejo Navarro Omar Trejo Navarro
Author Profile Icon Omar Trejo Navarro
Omar Trejo Navarro
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Table of Contents (12) Chapters Close

Preface 1. Introduction to R 2. Understanding Votes with Descriptive Statistics FREE CHAPTER 3. Predicting Votes with Linear Models 4. Simulating Sales Data and Working with Databases 5. Communicating Sales with Visualizations 6. Understanding Reviews with Text Analysis 7. Developing Automatic Presentations 8. Object-Oriented System to Track Cryptocurrencies 9. Implementing an Efficient Simple Moving Average 10. Adding Interactivity with Dashboards 11. Required Packages

Understanding Reviews with Text Analysis

It is well known that a very large percentage of relevant information originates in an unstructured form, an important player being text data. Text analysis, Natural Language Processing (NLP), Information Retrieval (IR), and Statistical Learning (SL) are some areas focused on developing techniques and processes to deal with this data. These techniques and processes discover and present knowledge, facts, business rules, relationships, among others, that is otherwise locked in textual form, impenetrable to automated processing.

Given the explosion of textual data we see nowadays, an important skill for analysts such as statisticians and data scientists is to be able to work efficiently with this data and find the insights they are looking for. In this chapter, we will try to predict whether a customer is going to make repeated purchases given...

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