latent semantic analysis 中文意思是什麼

latent semantic analysis 解釋
潛在語義學
  • latent : adj. 存在但看不見的；潛伏的；潛在的。n. 隱約的指印，潛指印。adv. -ly
  • semantic : adj. 語義（學）的。
  • analysis : n. （pl. -ses ）1. 分解，分析；【數學】解析。2. 梗概，要略。3. 〈美國〉用精神分析法治療（＝ psychoanalysis）。
  1. 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 )

    藍道爾與杜曼，柏拉圖問題的解答：知識獲得、歸納及表徵的潛在語意分析理論， 《心理學回顧》第104期（ 1997年） 。
  2. 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

    潛在語義分析（ latentsemanticanalysis ， lsa ）是一種用於自動地實現知識提取和表示的理論和方法，它通過對大量的文本集進行統計分析，從中提取出詞語的上下文使用含義。
  3. 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

    首先通過對文本進行潛在語義分析，對文本矩陣進行相應的奇異值分解，重構語義矩陣;然後採用基於篇章多級依存結構的文摘分析方法，對重構的語義矩陣表示的文本內容進行深入的分析，抽取重要的句子生成文摘，這樣就彌補了潛在語義分析在詞法和句法分析上的不足;同時過濾和去除了語義噪音，縮小了問題的規模。
  4. 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

    針對當前的搜索引擎提供面向查詢、而非面向用戶的服務，從而導致搜索引擎無法滿足用戶個性化的需求這一問題，提出了一種基於plsa的新方法，將面向查詢詞的搜索轉變成面向用戶的搜索.首先，通過分析用戶查詢歷史和瀏覽記錄建立代表用戶模型的用戶興趣向量，在用戶發出查詢時用戶的查詢詞根據用戶興趣向量被映射到興趣分類上，最終根據面向用戶排序演算法將返回結果列表重新排序.實驗表明該面向用戶搜索系統能夠充分考慮用戶的偏好，從而更好地滿足不同用戶的信息需求
  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

    然後重點說明了文摘和自動文摘系統的基本概念體系，並針對目前幾種主要的自動文摘系統形式化模型和方法:基於統計的機械文摘、基於理解的文摘、基於概念依存的文本結構分析方法和信息抽取的文本摘要等模型和方法進行了比較和分析，對它們的優點和缺點進行了討論，歸納出各自的特點。
  6. Application of latent semantic analysis to chinese text classification

    潛在語義分析在中文文本分類中的應用
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