Multi-Domain Sentiment Classification with Classifier Combination |
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| Authors: | Shou-Shan Li Chu-Ren Huang Cheng-Qing Zong |
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| Affiliation: | Shou-Shan Li Chu-Ren Huang~2 and Cheng-Qing Zong~3 1 NLP Lab,School of Computer Science and Technology,Soochow University,Suzhou 215006,China 2 Department of Chinese and Bilingual Studies,The Hong Kong Polytechnic University,Hong Kong,China 3 National Laboratory of Pattern Recognition,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China |
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| Abstract: | State-of-the-arts studies on sentiment classification are typically domain-dependent and domain-restricted.In this paper,we aim to reduce domain dependency and improve overall performance simultaneously by proposing an efficient multi-domain sentiment classification algorithm.Our method employs the approach of multiple classifier combination.In this approach,we first train single domain classifiers separately with domain specific data,and then combine the classifiers for the final decision.Our experiments s... |
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| Keywords: | sentiment classification multiple classifier system multi-domain learning |
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