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Asya Asia
I would like to finish my project within a month:
The project involves a hybrid method for sentiment analyiss of tweets written in Turkish language:
There are 2 ways in any of whom a kind of machine learning approach had to be applied.
1)information gathered from movie review sentiment could be used as a training data to test the sentiment of tweets gathered by hashtag.
2)naive bayes or support vector machines (producing features) could be edited to better analyze the sentiments (increase in accuracy).
As an example 60% accuracy rate of naive bayes could be raised to 80%accuracy by hybrid method.
Asya Ozkurt
The project involves a hybrid method for sentiment analyiss of tweets written in Turkish language:
There are 2 ways in any of whom a kind of machine learning approach had to be applied.
1)information gathered from movie review sentiment could be used as a training data to test the sentiment of tweets gathered by hashtag.
2)naive bayes or support vector machines (producing features) could be edited to better analyze the sentiments (increase in accuracy).
As an example 60% accuracy rate of naive bayes could be raised to 80%accuracy by hybrid method.
Asya Ozkurt