citiususc/Linguakit

Issue in sentiment score calculation

Closed this issue · 3 comments

Hi,
I used sentiment analyzer provided at the live demo site and also tested with github code. I found a lot of difference with the sentiment score. Why is it so? Can you help me out of this Please?

Hi,
The main difference is that the sentiment analysis module uses different PoS taggers in the two versions: in the live demo it uses Freeling while in github the PoS tagger is ours.
I also found another small difference concerning encoding but in the last version of the github code I fixed it. Please, update your github code with the last version of Linguakit and check the new version of the sentiment analysis module. Thanks!!

Ok.. So how can I get the same accuracy in sentiment percentage calculation as in live demo with in my github cloned version

This is not trivial at all. To do that, you should use as input of the sentiment analysis module the same version of FreeLing (3.0, I think) as that used by the live demo. Sorry.