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CGraphNet: Contrastive Graph Context Prediction for Sparse Unlabeled Short Text Representation Learning on Social Media Journal article
Chen, Junyang, Guo, Jingcai, Li, Xueliang, Wang, Huan, Xu, Zhenghua, Gong, Zhiguo, Zhang, Liangjie, Leung, Victor C.M.. CGraphNet: Contrastive Graph Context Prediction for Sparse Unlabeled Short Text Representation Learning on Social Media[J]. IEEE Transactions on Computational Social Systems, 2024.
Authors:  Chen, Junyang;  Guo, Jingcai;  Li, Xueliang;  Wang, Huan;  Xu, Zhenghua; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.5/4.6 | Submit date：2024/11/05
Contrastive Graph Context Prediction  Sequential Learning  Social Media Short Text Representation Learning  Sparsity Problem  Text Mining  
Chinese Constitutonal Performance Unveiled: Text Mining Insights in Civil Litigations Journal article
SHUI BING. Chinese Constitutonal Performance Unveiled: Text Mining Insights in Civil Litigations[J]. ICL JOURNAL-VIENNA JOURNAL ON INTERNATIONAL CONSTITUTIONAL LAW, 2024, 18(3), 429-456.
Authors:  SHUI BING
Adobe PDF | Favorite | TC[WOS]:0 TC[Scopus]:0  IF:0.4/0.4 | Submit date：2024/06/30
Constitutional Realities  Civil Adjudications  Chinese Constitution  Constitutionalism  Constitutional Influence  Text Mining  
Destination competitiveness research over the past three decades: a computational literature review using topic modelling Journal article
Xia, Haiyang, Muskat, Birgit, Karl, Marion, Li, Gang, Law, Rob. Destination competitiveness research over the past three decades: a computational literature review using topic modelling[J]. Journal of Travel and Tourism Marketing, 2024, 41(5), 726-742.
Authors:  Xia, Haiyang;  Muskat, Birgit;  Karl, Marion;  Li, Gang;  Law, Rob
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.2/8.5 | Submit date：2024/05/16
Bertopic  Comprehensive Literature Analysis  Computational Literature Review  Destination Competitiveness  Machine Learning Algorithm  Ordinary Least Squares Regression  Text Mining  Topic Modelling  Tourism  Tourist Destination  
Exploring influential factors in peer upvoting within social annotation Journal article
Li, Shan, Huang, Xiaoshan, Lin, Lijia, Chen, Fu. Exploring influential factors in peer upvoting within social annotation[J]. British Journal of Educational Technology, 2024, 1-14.
Authors:  Li, Shan;  Huang, Xiaoshan;  Lin, Lijia;  Chen, Fu
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.7/7.2 | Submit date：2024/05/16
Collaborative Reading  Machine Learning  Social Annotation  Text Mining  Upvotes  
Cooperator or supporter: how can cross-boundary Macau–Zhuhai metropolis promote regional tourism together? Journal article
Song, Xi, Mo, Ziying, Liu, Matthew Tingchi, Niu, Ben, Huang, Li. Cooperator or supporter: how can cross-boundary Macau–Zhuhai metropolis promote regional tourism together?[J]. Asia Pacific Journal of Marketing and Logistics, 2021, 34(10), 2207-2236.
Authors:  Song, Xi;  Mo, Ziying;  Liu, Matthew Tingchi;  Niu, Ben;  Huang, Li
Favorite | TC[WOS]:10 TC[Scopus]:13  IF:3.9/4.6 | Submit date：2022/05/13
Destination Image  Macau – Zhuhai Metropolis  Online Reviews  Regional Integration  Text Mining  Tourist-generated Content (Tgc)  
The bioinformatics toolbox for circRNA discovery and analysis Review article
2021
Authors:  Chen, Liang;  Wang, Changliang;  Sun, Huiyan;  Wang, Juexin;  Liang, Yanchun; et al.
Favorite | TC[WOS]:226 TC[Scopus]:225  IF:6.8/7.9 | Submit date：2021/12/07
Bioinformatics Tools  Circrna  Disease Biomarker  Next Generation Sequencing  Non-coding Rna  Text Mining  
Using text mining to track changes in travel destination image: the case of Macau Journal article
Liu, Matthew Tingchi, Liu, Yongdan, Mo, Ziying, Ng, Kai Lam. Using text mining to track changes in travel destination image: the case of Macau[J]. Asia Pacific Journal of Marketing and Logistics, 2021, 33(2), 371-393.
Authors:  Liu, Matthew Tingchi;  Liu, Yongdan;  Mo, Ziying;  Ng, Kai Lam
Favorite | TC[WOS]:41 TC[Scopus]:40  IF:3.9/4.6 | Submit date：2022/05/13
Destination Image  Online Reviews  Text Mining  Tourist-generated Content  
Travel destination image change analysis with python and content analysis: An example from Macau Conference paper
Liu, Y., Liu, T. C., Mo, Z., Ng, K.. Travel destination image change analysis with python and content analysis: An example from Macau[C], Seoul, Korea:Global Alliance of Marketing & Management Associations, ISSN 1976-8699, 2020.
Authors:  Liu, Y.;  Liu, T. C.;  Mo, Z.;  Ng, K.
Favorite |  | Submit date：2022/06/07
Destination Image  Tourist-generated Content  Content Analysis  Python  Macau  Text Mining  
TAM: Targeted Analysis Model with Reinforcement Learning on Short Texts Journal article
Chen, Junyang, Gong, Zhiguo, Wang, Wei, Liu, Weiwen, Yang, Ming, Wang, Cong. TAM: Targeted Analysis Model with Reinforcement Learning on Short Texts[J]. IEEE Transactions on Neural Networks and Learning Systems, 2020, 32(6), 2772-2781.
Authors:  Chen, Junyang;  Gong, Zhiguo;  Wang, Wei;  Liu, Weiwen;  Yang, Ming; et al.
Favorite | TC[WOS]:3 TC[Scopus]:5  IF:10.2/10.4 | Submit date：2021/12/08
Reinforcement Learning (Rl)  Targeted Analysis Model (Tam)  Text Mining  Topic Modeling  
Analysing Macau’s travel destination image change from 2014 to 2018: A foreign tourist-generated content perspective Conference paper
Liu, T. C., Liu, Y., Mo, Z.. Analysing Macau’s travel destination image change from 2014 to 2018: A foreign tourist-generated content perspective[C], 2020.
Authors:  Liu, T. C.;  Liu, Y.;  Mo, Z.
Favorite |  | Submit date：2022/06/07
Destination Image  Tourist-generated Content  Text Mining  Python  Macau