Semi-supervised Sentiment Classification using Ranked Opinion Words
نویسندگان
چکیده
منابع مشابه
Semi-supervised Sentiment Classification using Ranked Opinion Words
This work proposes a semi-supervised sentiment classification method which is based on the co-training framework. The proposed method needs to construct three sentiment classifiers. We use common text features to construct the first classifier. We extract opinion words from consumer reviews, and then we ranked these opinion words according to their importance. We also employ extracted opinion w...
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ژورنال
عنوان ژورنال: International Journal of Database Theory and Application
سال: 2013
ISSN: 2005-4270
DOI: 10.14257/ijdta.2013.6.6.05