SVM Extract keywords used for sentiment
Hopefully somebody can help. I am playing around with sentiment analysis using SVM and results are very promising. My question is how can I easily extract a list of words from the document that I score to see exactly why the sentiment is negative or positive.
Example: I score a 100 word paragraph I want to see all keywords that SVM identified as being important. It would be great to have count as well, for example "bad" 4 times, "poor" 3 times.
Any advice is very much appreciated.