latent semantic analysis meaning in Chinese
潜在语义学
Examples
- 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 - 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） 。 - 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。 - 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。 - 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。