I have some unlabeled microblogging posts and I want to create a sentiment analysis module.
To do this I have try Stanford library and Alchemy Api web service but the result it is not very good. For now I don't want training my classifier.
So I would like to suggest me some libraries or some web services about that. I would prefer a tested Library. The language of this posts is English. Also the preprocessing has been done.
P.S.
The programing language that I use is Java EE
Sentiment analysis doensn't keep up with the hyped promises.
See e.g.
The Sad State of Sentiment Analysis
December 26, 2013 by Angela Hausman
http://www.hausmanmarketingletter.com/sad-state-sentiment-analysis/
Recent experiments suggest sentiment analysis data is LESS accurate than a coin toss (accuracy 50%). That’s really scary if your brand makes strategic decisions based on sentiment analysis.
...
While the tools accurately predicted between 60 and 80% of utterances, when neutral utterances were removed (80% of the utterances) the accuracy dropped alarmingly.
In other words, everybody is cheating on their benchmarks, and overfitting (e.g. tweets have tons of duplicates and near duplicates - retweets - if you include these, you are overestimating the real performance)