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Learn Text Mining using R

Learn how to analyse textual data using the R tool to glean powerful insights from the natural language text.
2.8 (8 ratings)
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149 students enrolled
Last updated 6/2016
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  • 32 mins on-demand video
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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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.

Who is the target audience?
  • Bloggers
  • Content writers
  • Anybody whose job involves writing content regularly
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What Will I Learn?
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.
View Curriculum
  • 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
Curriculum For This Course
Expand All 12 Lectures Collapse All 12 Lectures 39:00
Course design
2 Lectures 03:23

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

Preview 01:31
A simple demonstration
6 Lectures 20:37

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

Intro to case study

A simple demonstration: Import and summarize data

Step 1 – Importing the blog content files and summarizing them

Import and Summarize data

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

Visualize word frequency using a word cloud on each set

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

Compare what words get importance in their posts

Find which words occur most frequently in each set

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

Comparative analysis of words that are unique to each author

Words that occur more often in one set

Words that occur at least N times
Analyze yourself
1 Lecture 00:00
Analyze yourself
7 pages
About the Instructor
4.2 Average rating
149 Reviews
8,360 Students
13 Courses
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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