I can help you with GAs, but I don't understand what you are trying to study.

What inputs do you have to guess the sentiments of a person? Clearly, that would guide the design of your algorithm.

Thanks Douglas C Youvan and C.P. Ravikumar ,

sentiment analysis is a trending field in Textmining , an example would be that of a system to mine twitter feed to get the mood of the country about a topic . . another example would be to classify online movie reviews into positive, negative or neutral reviews . .

I am doing literature survey in sentiment analysis right now and i am well versed with GA . . I would like to know how can both be linked

GA is generally used for combinatorial optimization. If you see the need to apply GA for your application, you may have to pose your problem as a minimization or maximization problem.

AHMED ABBASI, HSINCHUN CHEN, AND ARAB SALEM, "Sentiment Analysis in Multiple Languages: Feature Selection for Opinion Classification in Web Forums",

http://t.icadl.org/intranet/papers/AhmedAbbasi_SentimentTOIS.pdf

Hi,

You could use genetic algorithms for feature selection, noise removal, parameter optmization.

Best regards,