How to perform text mining, sentiment mining, and business category identification, and where to obtain a categorization library

Question

Currently I am working with Text Mining which includes sentiment identification and assigning corresponding business categories using open source tool R. I found these two documents which helped me to some extent:

• http://www.jstatsoft.org/v25/i05/
• http://epub.wu.ac.at/1923/1/document.pdf

My approach is to tokenize the text and then lookup for sentiment and business category. To do this I require positive and negative libraries for sentiment mining and category file which contains word and category. I was able to get positive and negative words but was unable to get a categorization library.

• Where can I get a categorization library?
• Is the above approach appropriate? Is there a better way to do this?

Answer 1

One solution mentioned by Jeffrey Breen is to use Lu and Hiu's lexicon. He also gives a cool tutorial for sentiment mining on Twitter.