| 一种突发性热点话题在线发现与跟踪方法 |
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| 引用本文： | 薛峰,周亚东,高峰,刘霁,赵俊舟,党琪.一种突发性热点话题在线发现与跟踪方法[J].西安交通大学学报,2011,45(12):64-69,116. |
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| 作者姓名： | 薛峰 周亚东 高峰 刘霁 赵俊舟 党琪 |
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| 作者单位： | 西安交通大学智能网络与网络安全教育部重点实验室,710049,西安 |
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| 基金项目： | 国家自然科学基金资助项目，国家"863计划"资助项目，国家科技支撑计划资助项目 |
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| 摘 要： | 针对在线发现与跟踪动态突发性文本流中的热点话题问题,在突发性热点词发现与度量方法的基础上提出了一种动态文本模型—动态突发性向量空间模型,用于有效描述文本的动态属性,并且结合文本聚类方法,提出了突发性热点话题的在线发现与跟踪方法.该方法可有效解决传统的基于静态向量空间模型的热点话题发现与跟踪方法仅可分析静态文本的缺陷,并...
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| 关 键 词： | 突发性热点话题 话题发现与跟踪 向量空间模型 |
An Online Detection and Tracking Method for Bursty Topics |
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| XUE Feng,ZHOU Yadong,GAO Feng,LIU Ji,ZHAO Junzhou,DANG Qi.An Online Detection and Tracking Method for Bursty Topics[J].Journal of Xi'an Jiaotong University,2011,45(12):64-69,116. |
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| Authors: | XUE Feng ZHOU Yadong GAO Feng LIU Ji ZHAO Junzhou DANG Qi |
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| Institution: | (Key Laboratory of Intellectual Network and Network Security of the Ministry of Education, Xi′an Jiaotong University,Xi′an 710049,China) |
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| Abstract: | Text representation in text mining plays an important role,but the traditional vector space model based on TF-IDF is a static statistical model and is not flexible for bursty topic detection and tracking since it could not model the bursty dynamic text flow(such as news text flow,blog text flow,etc.) effectively.A new model called dynamic bursty vector space model is proposed to model text flow,and to detect and track bursty topics based on bursty feature detection.The proposed dynamic model has several cha... |
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| Keywords: | bursty topic topic detection and tracking vector space model |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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