Search Results - "Wang, Suge"

A feature selection method based on improved fisher’s discriminant ratio for text sentiment classification by Wang, Suge, Li, Deyu, Song, Xiaolei, Wei, Yingjie, Li, Hongxia

“…► Based on Fisher’s discriminant ratio, an effective feature selection method is proposed for subjectivity text sentiment classification. ► The proposed method…”
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Cross-domain sentiment classification via parameter transferring and attention sharing mechanism by Zhao, Chuanjun, Wang, Suge, Li, Deyu, Liu, Xianzhi, Yang, Xinyi, Liu, Jinfeng

“…•Parameter transferring and attention sharing mechanism are proposed to effectively transfer sentiment knowledge through model transfer methods and effectively…”
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Multi-way matching based fine-grained sentiment analysis for user reviews by Guo, Xin, Zhang, Geng, Wang, Suge, Chen, Qian

“…While sentiment analysis has been widely used in public opinion to explore tendency of users for a target product from large online review data, less work…”
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Multi-granularity label-aware user interest modeling for news recommendation by Zheng, Jianxing, Li, Min, Wang, Suge, Liao, Jian, Wan, Xiaoya

“…The primary method for news recommendations revolves around leveraging the user’s browsing history to gauge their interests. Existing models prioritize…”
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Determining Fuzzy Membership for Sentiment Classification: A Three-Layer Sentiment Propagation Model by Zhao, Chuanjun, Wang, Suge, Li, Deyu

“…Enormous quantities of review documents exist in forums, blogs, twitter accounts, and shopping web sites. Analysis of the sentiment information hidden in these…”
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Integrating curriculum learning with meta-learning for general rhetoric identification by Wang, Dian, Li, Yang, Wang, Suge, Li, Xiaoli, Chen, Xin, Li, Shuqi, Liao, Jian, Li, Deyu

“…Rhetoric is abundant and universal across different human languages. In this paper, we propose a novel curriculum learning integrated with meta-learning (CLML)…”
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Sample cutting method for imbalanced text sentiment classification based on BRC by Wang, Suge, Li, Deyu, Zhao, Lidong, Zhang, Jiahao

“…The vast subjective texts spreading all over the Internet promoted the demand for text sentiment classification technology. A well-known fact that often…”
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Aspect-Context Interactive Attention Representation for Aspect-Level Sentiment Classification by Wu, Zhuojia, Li, Yang, Liao, Jian, Li, Deyu, Li, Xiaoli, Wang, Suge

“…Aspect-level sentiment classification aims to determine sentiment polarities of various aspects in reviews, where each review typically contains multiple…”
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Cooperative Hybrid Semi-Supervised Learning for Text Sentiment Classification by Li, Yang, Lv, Ying, Wang, Suge, Liang, Jiye, Li, Juanzi, Li, Xiaoli

“…A large-scale and high-quality training dataset is an important guarantee to learn an ideal classifier for text sentiment classification. However, manually…”
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A Variable Precision Attribute Reduction Approach in Multilabel Decision Tables by Wang, Suge, Zhai, Yanhui, Li, Deyu, Li, Hua, Zhang, Jing

“…Owing to the high dimensionality of multilabel data, feature selection in multilabel learning will be necessary in order to reduce the redundant features and…”
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BiLSTM with Multi-Polarity Orthogonal Attention for Implicit Sentiment Analysis by Wei, Jiyao, Liao, Jian, Yang, Zhenfei, Wang, Suge, Zhao, Qiang

“…Sentiment analysis has been a popular field in natural language processing. Sentiments can be expressed explicitly or implicitly. Most current studies on…”
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Multi-source domain adaptation with joint learning for cross-domain sentiment classification by Zhao, Chuanjun, Wang, Suge, Li, Deyu

“…Cross-domain sentiment classification uses knowledge from source domain tasks to enhance the sentiment classification of the target task. It can reduce the…”
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Identification of fact-implied implicit sentiment based on multi-level semantic fused representation by Liao, Jian, Wang, Suge, Li, Deyu

“…Sentiment can be expressed in an explicit or implicit manner. Most of the current studies on sentiment analysis focus on the identification of explicit…”
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Learning document representation via topic-enhanced LSTM model by Zhang, Wenyue, Li, Yang, Wang, Suge

“…Document representation plays an important role in the fields of text mining, natural language processing, and information retrieval. Traditional approaches to…”
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A novel attribute reduction approach for multi-label data based on rough set theory by Li, Hua, Li, Deyu, Zhai, Yanhui, Wang, Suge, Zhang, Jing

“…Multi-label classification is an active research field in machine learning. Because of the high dimensionality of multi-label data, attribute reduction (also…”
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Interactive double states emotion cell model for textual dialogue emotion prediction by Li, Dayu, Li, Yang, Wang, Suge

“…Daily dialogues are full of emotions that control the trends of dialogues and influence the attitudes of interlocutors toward each other, and understanding the…”
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Dynamic commonsense knowledge fused method for Chinese implicit sentiment analysis by Liao, Jian, Wang, Min, Chen, Xin, Wang, Suge, Zhang, Kai

“…Compared with explicit sentiment analysis that attracts considerable attention, implicit sentiment analysis is a more difficult task due to the lack of…”
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Attention-based explainable friend link prediction with heterogeneous context information by Zheng, Jianxing, Qin, Zifeng, Wang, Suge, Li, Deyu

“…•Model a fusion user embedding with considering local and global interest semantics.•Explain social relations by learning neighbors’ bootable and transitive…”
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Exploiting social and local contexts propagation for inducing Chinese microblog-specific sentiment lexicons by Zhao, Chuanjun, Wang, Suge, Li, Deyu

“…Sentiment lexicons including opinion words, sentiment phrases, and idioms with sentiment polarities play an important role in sentiment analysis tasks. Apart…”
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Personalized recommendation based on hierarchical interest overlapping community by Zheng, Jianxing, Wang, Suge, Li, Deyu, Zhang, Bofeng

“…•Content-based and structured-based interest closenesses build multi-granularity subject similarity between users.•Hierarchical interest overlapping community…”
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