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semantic indexing中文是什么意思

  • 语义索引

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  • 例句与用法
  • Latent semantic indexing and its applications in chinese text processing
    隐含语义索引及其在中文文本处理中的应用研究
  • 5 hull d a . improving text retrieval for the routing problem using latent semantic indexing . in proc
    即在句子中频繁同时出现的词,并将其作为文档的特征词组。
  • Research on semantic indexing system and semantic retrieval model for chinese medical information based on multilayer conceptual semantic network structure
    基于多层次概念语义网络结构的中文医学信息语义标引体系和语义检索模型研究
  • This paper proposes a method, called tckm ( task-circumstance-based km ), which adopts the structural description oriented to task circumstance as the semantic indexes for the suitability of information body content and the query requirement of work practice, hence can solve effectively this problem
    本文提出的基于任务情景的知识管理方法tckm,以面向任务情景的结构化描述作为信息体内容适用性和工作实践查询需求的语义索引,可以有效地解决这一挑战性问题。
  • Under such background, this paper proposes a method, called tckm ( task-circumstance-based km ), which adopts the structural description oriented to task circumstance as the semantic indexes for the suitability of information body content and the query requirement of work practice, hence can solve effectively this problem
    在此背景下,本文提出的基于任务情景的知识管理方法tckm,以面向任务情景的结构化描述作为信息体内容适用性和工作实践查询需求的语义索引,可以有效地解决这一挑战性问题。
  • This paper researches and discusses the theory of latent semantic index, include the theory of single value decompose and word-document matrix . in this paper the author discusses the application of latent semantic index in chinese document clustering based on latent semantic index, researches and discusses vector space model, latent semantic index, electronic dictionary, word-splitting and the algorithm of k-means . this paper presents a improved structure of electronic dictionary and a improved algorithm of word-spliting
    本文对潜在语义索引模型进行系统的研究和探讨,包括奇异值分解等相关矩阵理论、词-文档矩阵等;同时本文研究和探讨了潜在语义索引模型在中文文本聚类中的具体应用和实现,包括文本间相似度的度量、词-文档矩阵、奇异值分解的具体实现;同时本文对中文文本聚类所涉及的其他一些中文处理技术,包括向量空间模型、电子字典、切词、k-means聚类算法等也进行了研究和探讨。
  • This paper researches and discusses the theory of latent semantic index, include the theory of single value decompose and word-document matrix . in this paper the author discusses the application of latent semantic index in chinese document clustering based on latent semantic index, researches and discusses vector space model, latent semantic index, electronic dictionary, word-splitting and the algorithm of k-means . this paper presents a improved structure of electronic dictionary and a improved algorithm of word-spliting
    本文对潜在语义索引模型进行系统的研究和探讨,包括奇异值分解等相关矩阵理论、词-文档矩阵等;同时本文研究和探讨了潜在语义索引模型在中文文本聚类中的具体应用和实现,包括文本间相似度的度量、词-文档矩阵、奇异值分解的具体实现;同时本文对中文文本聚类所涉及的其他一些中文处理技术,包括向量空间模型、电子字典、切词、k-means聚类算法等也进行了研究和探讨。
  • This paper researches and discusses the theory of latent semantic index, include the theory of single value decompose and word-document matrix . in this paper the author discusses the application of latent semantic index in chinese document clustering based on latent semantic index, researches and discusses vector space model, latent semantic index, electronic dictionary, word-splitting and the algorithm of k-means . this paper presents a improved structure of electronic dictionary and a improved algorithm of word-spliting
    本文对潜在语义索引模型进行系统的研究和探讨,包括奇异值分解等相关矩阵理论、词-文档矩阵等;同时本文研究和探讨了潜在语义索引模型在中文文本聚类中的具体应用和实现,包括文本间相似度的度量、词-文档矩阵、奇异值分解的具体实现;同时本文对中文文本聚类所涉及的其他一些中文处理技术,包括向量空间模型、电子字典、切词、k-means聚类算法等也进行了研究和探讨。
  • This paper researches and discusses the theory of latent semantic index, include the theory of single value decompose and word-document matrix . in this paper the author discusses the application of latent semantic index in chinese document clustering based on latent semantic index, researches and discusses vector space model, latent semantic index, electronic dictionary, word-splitting and the algorithm of k-means . this paper presents a improved structure of electronic dictionary and a improved algorithm of word-spliting
    本文对潜在语义索引模型进行系统的研究和探讨,包括奇异值分解等相关矩阵理论、词-文档矩阵等;同时本文研究和探讨了潜在语义索引模型在中文文本聚类中的具体应用和实现,包括文本间相似度的度量、词-文档矩阵、奇异值分解的具体实现;同时本文对中文文本聚类所涉及的其他一些中文处理技术,包括向量空间模型、电子字典、切词、k-means聚类算法等也进行了研究和探讨。
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Last modified time:Mon, 18 Aug 2025 00:29:56 GMT

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