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Text Mining - Sentiment Mining & Business Category Identification

Hi,

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

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. For doing this I required positive and negative libraries for sentiment mining and category file which contains word and category. I some how able to get positive and negative words but fail to get categorization library. Can you guys help me where can I get this library? Is this approach is right or is there any better way to do this? Your help is very much appreciated.

Suresh.

text r

Hi AVSuresh - is your application in the area of biology, bioinformatics or computational biology?

Does not sound as though it is; closing accordingly.

For the record ... We do "sell" large textmining and semantic web projects (large being really large, multi million) in the field of bioinformatics by explaining that they are also useful for applications like this.

For the record ... We do "sell" large textmining and semantic web projects in the field of bioinformatics by explaining that they are also useful for applications like this.

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