Term Extraction and Sentiment Analysis Open Source Project?

For parsing the text and getting the parts of speech you want, there are lots of toolkits.

For parsing the text and getting the parts of speech you want, there are lots of toolkits incubator.apache.org/opennlp/ nltk.org/ etc. Check out en.wikipedia.org/wiki/Sentiment_analysis for ideas about finding how words are used positively or negatively, if what you mean by that is connotation. I don't know of any solid platforms for doing this, but maybe you can tell us more about your problem for some ideas.In absence of a toolkit that'll do this for you, you might find that getting NPs and the ADJs linked to them would be sufficient. You'd also need negation detection.

I've used this ohnlp.sourceforge.Net (build on Apache UIMA) and it comes with a negation detection algorithm that is moderately decent.

Added an example. – metdos Apr 5 at 16:44 2 I second NLTK. Theres a good line of blog postings explaining how to use it for exactly this purpose starting here:streamhacker.Com/2010/05/10/… – bdk Apr 5 at 16:54 @bdk: Perfect shot, thanks.

– metdos Apr 5 at 17:00.

I cant really gove you an answer,but what I can give you is a way to a solution, that is you have to find the anglde that you relate to or peaks your interest. A good paper is one that people get drawn into because it reaches them ln some way.As for me WW11 to me, I think of the holocaust and the effect it had on the survivors, their families and those who stood by and did nothing until it was too late.