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Mastering Text Mining with R

You're reading from Mastering Text Mining with R Extract and recognize your text data

Product type Paperback

Published in Dec 2016

Publisher Packt

ISBN-13 9781783551811

Length 258 pages

Edition 1st Edition

Languages

R

Concepts

Data Mining

Author (1):

KUMAR ASHISH

View More author details

Table of Contents (9) Chapters

Preface

1. Statistical Linguistics with R FREE CHAPTER

2. Processing Text

3. Categorizing and Tagging Text

4. Dimensionality Reduction

5. Text Summarization and Clustering

6. Text Classification

7. Entity Recognition

Index

Preface

Text Mining is the process of extracting useful and high-quality information from text by devising patterns and trends. R provides an extensive ecosystem to mine text through its many frameworks and packages.

Our aim in this book is to provide you the information that you will use to develop a practical application from the concepts learned and you will understand how text mining can be leveraged to analyze the massively available data on social media.

We hope you'll get as much from reading this book as we did from writing it.

The rest of the chapter is locked

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Authors (1)

KUMAR ASHISH

KUMAR ASHISH

Ashish Kumar is a seasoned data science professional, a publisher author and a thought leader in the field of data science and machine learning. An IIT Madras graduate and a Young India Fellow, he has around 7 years of experience in implementing and deploying data science and machine learning solutions for challenging industry problems in both hands-on and leadership roles. Natural Language Procession, IoT Analytics, R Shiny product development, Ensemble ML methods etc. are his core areas of expertise. He is fluent in Python and R and teaches a popular ML course at Simplilearn. When not crunching data, Ashish sneaks off to the next hip beach around and enjoys the company of his Kindle. He also trains and mentors data science aspirants and fledgling start-ups.

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