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Learn Text Mining using R
Rating: 2.7 out of 5(16 ratings)
180 students

Learn Text Mining using R

Learn how to analyse textual data using the R tool to glean powerful insights from the natural language text.
Created byATI - Analytics Training Institute
Last updated 6/2016
English

What you'll 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.

Course content

4 sections • 12 lectures • 32m total length

  • What you will learn1:52
  • How you can use what you learn1:31

    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

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

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.

Who this course is for:

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

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