Sentiment Document Classification Using Global and Domain Features
نویسنده
چکیده
The goal of sentiment classification is to detect writer’s sentiment from a document. This paper investigates which features and what combination of them is more effective in sentiment classification. Experiments show that the effective combination method of global and domain features can significantly reduce classification errors relative to features which have been used in general text classification.
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تاریخ انتشار 2013