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Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification Conference paper
Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, Yuanchun Zhou. Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification[C]:IEEE, 2021, 757-766.
Authors:  Meng Xiao;  Ziyue Qiao;  Yanjie Fu;  Yi Du;  Pengyang Wang; et al.
Favorite | TC[WOS]:5 TC[Scopus]:8 | Submit date：2022/05/13
Hierarchical Multi-label Classification  Text Classification  Transformer  
Novel Efficient RNN and LSTM-like architectures: Recurrent and Gated Broad Learning Systems and Their Applications to Text Classification Journal article
Du, J., Vong, C. M., Chen, C. L.. Novel Efficient RNN and LSTM-like architectures: Recurrent and Gated Broad Learning Systems and Their Applications to Text Classification[J]. IEEE Transactions on Cybernetics (SCI-E), 2021, 1586-1597.
Authors:  Du, J.;  Vong, C. M.;  Chen, C. L.
Favorite |   IF:9.4/10.3 | Submit date：2022/08/09
Broad learning system (BLS)  sequence information  simultaneous learning  text classification  word importance  
Novel Efficient RNN and LSTM-Like Architectures: Recurrent and Gated Broad Learning Systems and Their Applications for Text Classification Journal article
Du,Jie, Vong,Chi Man, Philip Chen,C. L.. Novel Efficient RNN and LSTM-Like Architectures: Recurrent and Gated Broad Learning Systems and Their Applications for Text Classification[J]. IEEE Transactions on Cybernetics, 2021, 51(3), 1586-1597.
Authors:  Du,Jie;  Vong,Chi Man;  Philip Chen,C. L.
Favorite | TC[WOS]:120 TC[Scopus]:125  IF:9.4/10.3 | Submit date：2021/03/11
Broad Learning System (Bls)  Sequence Information  Simultaneous Learning  Text Classification  Word Importance  
Exploring the Feature Selection-Based Data Analytics Solutions for Text Mining Online Communities by Investigating the Influential Factors: A Case Study of Programming CQA in Stack Overflow Book chapter
出自: Big Data Applications and Use Cases:Springer, Cham, 2016, 页码:49-93
Authors:  zhou, Shu;  Fong, Simon
Favorite | TC[WOS]:1 TC[Scopus]:0 | Submit date：2019/07/24
Community Question Answering (Cqa)  Classification  Feature Section  Text Analytics  Data Mining  
Hierarchical classification in text mining for sentiment analysis of online news Journal article
Jinyan Li, Simon Fong, Yan Zhuang, Richard Khoury. Hierarchical classification in text mining for sentiment analysis of online news[J]. Soft Computing, 2015, 20(9), 3411-3420.
Authors:  Jinyan Li;  Simon Fong;  Yan Zhuang;  Richard Khoury
Favorite | TC[WOS]:37 TC[Scopus]:46  IF:3.1/3.2 | Submit date：2019/02/13
Sentiment Analysis  Text Mining  Classification  
Hierarchical Classification in Text Mining for Sentiment Analysis Conference paper
Jinyan Li, Simon Fong, Yan Zhuang, Richard Khoury. Hierarchical Classification in Text Mining for Sentiment Analysis[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2014, 46-51.
Authors:  Jinyan Li;  Simon Fong;  Yan Zhuang;  Richard Khoury
Favorite | TC[WOS]:4 TC[Scopus]:9 | Submit date：2019/02/13
Classification  Sentiment Analysis  Text Mining  
Measuring Emotions from Online News and Evaluating Public Models from Netizens’ Comments: A Text Mining Approach Journal article
Simon Fong. Measuring Emotions from Online News and Evaluating Public Models from Netizens’ Comments: A Text Mining Approach[J]. JOURNAL OF EMERGING TECHNOLOGIES IN WEB INTELLIGENCE, 2012, 4(1), 60-66.
Authors:  Simon Fong
Favorite | TC[Scopus]:3 | Submit date：2019/05/15
Emotion Classification  Text Mining  Hierarchical Visualization  
Mining product features from online reviews Conference paper
Weishu Hu, Zhiguo Gong, Jingzhi Guo. Mining product features from online reviews[C], 2011, 24-29.
Authors:  Weishu Hu;  Zhiguo Gong;  Jingzhi Guo
Favorite | TC[Scopus]:21 | Submit date：2019/02/12
Sentiment Classification  Text Mining