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2. Deep transfer learning mechanism for fine-grained cross-domain sentiment classification

Author

Sancheng Peng, Zixuan Cao, Yongmei Zhou, and Aimin Yang

Subjects
Kullback–Leibler divergence, business.industry, Polarity (physics), Computer science, InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL, Pattern recognition, ComputingMethodologies_ARTIFICIALINTELLIGENCE, Domain (software engineering), Human-Computer Interaction, ComputingMethodologies_PATTERNRECOGNITION, Artificial Intelligence, Artificial intelligence, InformationSystems_MISCELLANEOUS, Transfer of learning, business, Software, Mechanism (sociology)
Abstract

The goal of cross-domain sentiment classification is to utilise useful information in the source domain to help classify sentiment polarity in the target domain, which has a large number of unlabel...

Published
2021
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