Neil McGuigan of Vancouver Data Blog has posted a series of videos about different aspects of Text Mining each day of the last week.  Hence, he posted a total number of five videos of about 10 minutes.

Neil did a great job and produced the videos along a sample application based on a popular job posting board. The five videos cover the following topics:

• loading text into RapidMiner (paste, file, group of files in folders, database)
  
• processing text in RapidMiner (strip html, tokenize, n-grams, stemming, stopwords, frequency tables)
  
• word vectorization and association rules with text
  
• calculating the similarity between documents, clustering here
  
• automatically classifying documents and determining which words are important

Thanks again Neil for this amazing video series! And please check out his blog and his other posts including also other videos about using RapidMiner.