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"context/feature based opinion mining/sentiment analysis"
I'm pretty new to Rapidminer, and I'm stuck on the following problem.
I managed to build a simple sentiment classifier following the Pang's theory and the examples on the Internet (especially those on vancouverdata). Now i'd like to extend the concept by extracting the specific features (n-grams) and showing their sentiment score.
For example, let's have the following phrase: "the camera has a pretty good focus, but its flash lacks of speed". I have the two features focus (positive), and flash (negative).
Could you help me get through the pain?
Thank you in advance,