Chinese micro blogs multi-intensity sentiment classification method based on rough set theory
Zhou-peng Ji, Fei-fei Zhao, Xian-jun Chen · 2016
Focus on solving the Chinese micro blogs sentiment classification issues, a sentiment classification method based on rough set theory has been proposed, rough set theory and sentiment analysis is applied to vector space to find optimal feature set by reducing attributes and get multi-intensity sentiment classification about the micro blogs. This approach decreases the dimension of vector space and improves the accuracy of classification effectively. Our experiment example shows the effectiveness of the proposed algorithm.