Experiments showed that the performance of text classification was improved by the proposed method. Compared with single classifier, this method achieved better ...
Abstract. With the rapid expansion of network application, more and more customer reviews are available on-line. In this paper, A method for opinion ...
A method for opinion analysis based on the fusion of multiple classifiers was presented, reliability function was introduced to select the text that is hard ...
Recent research results show that fusion methods not always outperform individual classifiers trained and optimized for a specific situation.
Missing: Opinion | Show results with:Opinion
Fusing classifiers' decisions can improve the performance of a pattern recognition system. Many applications areas have adopted the methods of multiple ...
Overall, majority voting methods fuse multiple classifiers based only on the class label of each classifier, while ignoring some additional useful ...
The segmentation algorithm introduced in this study is based on Mean-Shift and Watershed methods. We propose a fusion classifier strategy which allows us to ...
Missing: Opinion | Show results with:Opinion
Oct 11, 2023 · This paper proposes a mining method for public opinion sentiment analysis based on multi-model fusion transfer learning, that can make full use of the limited ...
Opinion analysis based on a fusion of multiple classifiers approach ... In this paper, A method for opinion analysis based on the fusion of multiple ...
When combining classifiers in the Dempster–Shafer framework, Dempster's rule is generally used. However, this rule assumes the classifiers to be independent ...