Cross-Domain Sentiment Classification by Capsule Network With Semantic Rules
Cross-Domain Sentiment Classification by Capsule Network With Semantic Rules is a scholarly work, published in 2018 in ''IEEE Access''. The main subjects of the publication include information retrieval, Multi-label classification, sentiment analysis, natural language processing, sentence, ENCODE, artificial intelligence, computer science, exploit, task, Domain Adaptation, semantic network, set, machine learning, and domain. The authors introduce a Capsule network for sentiment analysis in domain adaptation scenario with semantic rules (CapsuleDAR).