| 基于潜在语义分析的藏文Web不良信息检索算法研究 |
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| 引用本文： | 普措才仁.基于潜在语义分析的藏文Web不良信息检索算法研究[J].西北民族学院学报,2014(4):14-18. |
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| 作者姓名： | 普措才仁 |
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| 作者单位： | 西北民族大学数学与计算机科学学院,甘肃兰州730030 |
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| 基金项目： | 国家民委自然基金项目（12xbz007）资助. |
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| 摘 要： | 根据不良信息的特点对潜在语义分析(Latent Semantic Analysis LSA)进行了简化,并设计了基于简化的潜在语义分析(Latent Semantic Analysis Of a Simplified LSAS)的藏文Web不良信息检索算法.该检索算法能够对具有关于某个主题的特定倾向的文本进行过滤.该系统充分利用了领域知识,采用了潜在语义模式分析等技术.实验表明该系统具有查全率和查准率高,速度较快的特点.
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| 关 键 词： | 藏文Web 不良信息 潜在语义分析 |
Study on Filtering System of Harmful Information on Tibetan WEB Based on Latent Semantic Analysis |
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| Institution: | Pucuocairen (College of Computer Science and Information Engineering, Northwest University for Nationalities, Lanzhou 730030, China) |
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| Abstract: | The latent semantic analysis {LSA） was simplified based on the text network bad information. Latent Semantic Analysis Of a Simplified LSAS was designed according to the hiding of latent language righteousness analysis calculate way. The inspectional calculate way can originally carry on percolation to the text of particular tendency that has concerning a certain topic.. The system well made use of realm knowledge and adopted latent language righteousness mode to analyze an etc. technique, the experiment expressed that it checks whole rateses and checks a quasi - rate Gao, and the speed is quicker. |
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| Keywords: | WEB Tibetan Harmful information Latent semantic analysis |
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