A User-Oriented Special Topic Generation System for Digital Newspaper | |
Xu, Xi ; Ye, Mao ; Tang, Zhi ; Xu, Jian-Bo ; Gao, Liang-Cai | |
2015 | |
关键词 | Digital newspaper User-oriented special topic Latent Dirichlet allocation Synonymy word map |
英文摘要 | With the coming of digital newspaper, user-oriented special topic generation becomes extremely urgent to satisfy the users' requirements both functionally and emotionally. We propose an applicable automatic special topic generation system for digital newspapers based on users' interests. Firstly, extract subject heading vector of the topic of interest by filtering out function words, localizing Latent Dirichlet Allocation (LDA) and training the LDA model. Secondly, remove semantically repetitive vector component by constructing a synonymy word map. Lastly, organize and refine the special topic according to the similarity between the candidate news and the topic, and the density of topic-related terms. The experimental results show that the system has both simple operation and high accuracy, and it is stable enough to be applied for user-oriented special topic generation in practical applications.; EI; CPCI-S(ISTP); xuxi@founder.com.cn; yemao.apb@founder.com.cn; tommie@founder.com.cn; xu.jb@founder.com.cn; 10548887@pku.edu.cn; 484-491; 9362 |
语种 | 英语 |
出处 | 4th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC) |
DOI标识 | 10.1007/978-3-319-25207-0_45 |
内容类型 | 其他 |
源URL | [http://ir.pku.edu.cn/handle/20.500.11897/436969] |
专题 | 信息科学技术学院 |
推荐引用方式 GB/T 7714 | Xu, Xi,Ye, Mao,Tang, Zhi,et al. A User-Oriented Special Topic Generation System for Digital Newspaper. 2015-01-01. |
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