Learn Text Mining using R

Learn how to analyse textual data using the R tool to glean powerful insights from the natural language text.
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  • Lectures 12
  • Length 39 mins
  • Skill Level Beginner Level
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 1/2014 English

Course Description

What is Text mining? As simple as it may sound, text mining involves deriving important, high quality information from text. What do we get from this high quality information? Pretty much anything; text categorization, sentiment analysis, document summarization to name a few.

We’ve made sure you don’t get lost in the programming and technical details by providing you with our pre-coded open-source software.

What are the requirements?

  • You should know how to open a file, type into it and save the file
  • You do not need to know how to program, just the ability to follow simple instructions
  • We use the R software package which is an open source software (free software). Installation and setup instructions are included in the course

What am I going to get from this course?

  • Help a non-technical audience conduct text mining
  • Help them find patterns and trends in their writing and apply the tool on any text documents they can get their hands on.

Who is the target audience?

  • Bloggers
  • Content writers
  • Anybody whose job involves writing content regularly

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.


Section 1: Course design
What you will learn

Course design: How you can use what you learn

Knowing where and how to apply techniques you learn is key. Text mining can mean different things to different people at different times

Section 2: Setting up
How to download and install R
How to use code file
Section 3: A simple demonstration

A simple demonstration: Intro to case study

We analyse two prominent bloggers and their posts.

We wish to uncover how they differ in their writing style and area of focus


A simple demonstration: Import and summarize data

Step 1 – Importing the blog content files and summarizing them


A simple demonstration: Visualize word frequency using a word cloud on each set

Create a graphic representation of topics and words each author focuses on


A simple demonstration: Find which words occur most frequently in each set

Compare what words get importance in their posts


A simple demonstration: Words that occur more often in one set

Comparative analysis of words that are unique to each author

Words that occur at least N times
Section 4: Analyze yourself
Analyze yourself
7 pages

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Instructor Biography

ATI - Analytics Training Institute, Committed to creating a difference

We are an Analytics firm committed to developing intellectual property that will help individuals and their organisation take smarter decisions every day. ATI, the education arm of Redwood Associates has helped 200 companies and over 15000 individuals speak the language of DATA

The founder Gautam Munshi has nearly two decades of high performance analytics experience. His strong belief that anyone can become an analyst has led him to build a team of 12 - a group of math geeks, techies, musicians, comedians, beer enthusiasts, agriculturists, geneticists, teachers and bankers,who have the gumption that they can make a difference and truly believe that analytics can influence and make a huge impact on a day-day basis. It is this diverse lot that brings Analytics to the mind space of every individual. You can view their moments in the lime light here and follow them on Facebook

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