Text Analytics With Rapidminer Part 2 of 6 - Processing Text

Published on 11/9/2010

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Wow, several hundred hits yesterday, thanks for watching everyone!

This is part two of a six-part video series on text mining in RapidMiner. This video describes how to process text to get a word frequency table. Topics covered include:

• reading hundreds of documents from a database into RapidMiner
• stripping HTML from content from a popular job posting board
• tokenizing a document (splitting it into words)
• removing overly common words (stopwords)
• finding roots of words (stemming)
• finding phrases in documents (n-grams)
• and generating a word frequency table that describes important words in your documents

If you’re not familiar with RapidMiner, you can see my other videos on my Youtube Channel.

Here’s the video:

Your feedback and sharing is appreciated!

Up tomorrow, finding association rules in documents.

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