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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.
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|Section 1: Course design|
What you will learnPreview
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 RPreview
How to use code filePreview
|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|
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