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Chinese translation for "latent semantic analysis"

潜在语义学

Related Translations:
procedural semantic network:  过程语义网络
latent heat:  【物理学】潜热。
latent stage:  潜在阶段性欲潜伏期
latent paranoia:  潜隐型偏执狂
latent dream:  潜性梦
latent conductivity:  电导潜影
latent edema:  隐性水肿
latent deed:  【法律】秘密保存二十年以上的证件。
latent arenavirus:  潜伏沙粒样病毒潜伏沙粒样簿
latent neutron:  潜中子
Example Sentences:
1.Application of latent semantic analysis to chinese text classification
潜在语义分析在中文文本分类中的应用
2.Landauer , t . k . , and s . t . dumais . " a solution to plato ' s problem : the latent semantic analysis theory of the acquisition , induction , and representation of knowledge . " psychological review 104 ( 1997 )
蓝道尔与杜曼,柏拉图问题的解答:知识获得、归纳及表征的潜在语意分析理论, 《心理学回顾》第104期( 1997年) 。
3.Latent semantic analysis ( lsa ) is a completely automatic theory and method of the acquisition and representation of knowledge , which extracts the contextual - usage meaning of words by statistical computations applied to a large corpus of text
潜在语义分析( latentsemanticanalysis , lsa )是一种用于自动地实现知识提取和表示的理论和方法,它通过对大量的文本集进行统计分析,从中提取出词语的上下文使用含义。
4.It process documents not only based on latent semantic analysis , but also based on text multilevel dependency structure . the method first analysis the latent semantic structure of texts , make single value decomposition on text - matrix , reconstruct the semantic matrix ; then a method based on text multilevel dependency structure is adopted , deeply analysis the content of the semantic matrix , abstract the important sentences to generate abstraction and make up the shortage of latent semantic analysis on structure and syntax
首先通过对文本进行潜在语义分析,对文本矩阵进行相应的奇异值分解,重构语义矩阵;然后采用基于篇章多级依存结构的文摘分析方法,对重构的语义矩阵表示的文本内容进行深入的分析,抽取重要的句子生成文摘,这样就弥补了潜在语义分析在词法和句法分析上的不足;同时过滤和去除了语义噪音,缩小了问题的规模。
5.Secondly , some basic concepts about abstract and automatic summarization system are introduced , and the main formal models and methods of system are compared and analyzed , such as statistics based , meaning based , concept based , knowledge based etc . we induce their characteristics and put forward a kind of comprehensive automatic summarization system based on latent semantic analysis and text multilevel dependency structure
然后重点说明了文摘和自动文摘系统的基本概念体系,并针对目前几种主要的自动文摘系统形式化模型和方法:基于统计的机械文摘、基于理解的文摘、基于概念依存的文本结构分析方法和信息抽取的文本摘要等模型和方法进行了比较和分析,对它们的优点和缺点进行了讨论,归纳出各自的特点。
6.In order to solve the problem that current search engines provide query - oriented searches rather than user - oriented ones , and that this improper orientation leads to the search engines ' inability to meet the personalized requirements of users , a novel method based on probabilistic latent semantic analysis ( plsa ) is proposed to convert query - oriented web search to user - oriented web search . first , a user profile represented as a user ' s topics of interest vector is created by analyzing the user ' s click through data based on plsa , then the user ' s queries are mapped into categories based on the user ' s preferences , and finally the result list is re - ranked according to the user ' s interests based on the new proposed method named user - oriented pagerank ( uopr ) . experiments on real life datasets show that the user - oriented search system that adopts plsa takes considerable consideration of user preferences and better satisfies a user ' s personalized information needs
针对当前的搜索引擎提供面向查询、而非面向用户的服务,从而导致搜索引擎无法满足用户个性化的需求这一问题,提出了一种基于plsa的新方法,将面向查询词的搜索转变成面向用户的搜索.首先,通过分析用户查询历史和浏览记录建立代表用户模型的用户兴趣向量,在用户发出查询时用户的查询词根据用户兴趣向量被映射到兴趣分类上,最终根据面向用户排序算法将返回结果列表重新排序.实验表明该面向用户搜索系统能够充分考虑用户的偏好,从而更好地满足不同用户的信息需求
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