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CASIA OpenIR
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Mining opinion summarizations using convolutional neural networks in Chinese microblogging systems 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2016, 卷号: 107, 期号: 1, 页码: 289-300
作者:  Li, Qiudan;  Jin, Zhipeng;  Wang, Can;  Zeng, Daniel Dajun;  Daniel Dajun Zeng
浏览  |  Adobe PDF(1540Kb)  |  收藏  |  浏览/下载：891/360  |  提交时间：2016/10/23
Chinese Microblogging Systems  Hot Topics  Convolutional Neural Network  Opinion Summarization  Maximal Marginal Relevance  
Predicting User’s Multi-Interests With Network Embedding in Health-Related Topics 会议论文
IJCNN2016, Vancouver, Canada, 24-29 July 2016
作者:  Zhipeng Jin;  Ruoran Liu;  Qiudan Li;  Daniel D. Zeng;  YongCheng Zhan;  Lei Wang
浏览  |  Adobe PDF(288Kb)  |  收藏  |  浏览/下载：748/359  |  提交时间：2016/10/23
User Interaction Network  Multi-interest Prediction  Weight Information  
Jointly Modeling Review Content and Aspect Ratings for Review Rating Prediction 会议论文
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016. ACM 2016, ISBN 978-1-4503-4069-4, Pisa, Italy, July 17-21, 2016
作者:  Zhipeng Jin;  Qiudan Li;  Daniel D. Zeng;  YongCheng Zhan;  Ruoran Liu;  Lei Wang;  Hongyuan Ma
浏览  |  Adobe PDF(1256Kb)  |  收藏  |  浏览/下载：527/221  |  提交时间：2016/10/23
Review Rating Prediction  Aspect Rating  Data Missing  
Labelling Topics in Weibo Using Word Embedding and Graph-based Method 会议论文
, USA, 20-22 April 2016
作者:  Zhipeng Jin;  Qiudan Li;  Can Wang;  Daniel D. Zeng;  Lei Wang
浏览  |  Adobe PDF(191Kb)  |  收藏  |  浏览/下载：370/105  |  提交时间：2018/01/05
Weibo  Microblogs  Deep Learning  Labelling Topics  Graph  
Filtering spam in Weibo using ensemble imbalanced classification and knowledge expansion 会议论文
2015 IEEE International Conference on Intelligence and Security Informatics, Baltimore, USA, 2015-5-27至2015-5-29
作者:  Jin, Zhipeng;  Li, Qiudan;  Zeng, Daniel;  Wang, Lei
浏览  |  Adobe PDF(202Kb)  |  收藏  |  浏览/下载：411/142  |  提交时间：2016/06/15
Spam Detection  External Knowledge Expansion  Ensemble Learning  Class-imbalance Learning