semantic indexing

In this thesis, we show how the cluster label discovery can be accomplished with the use of the Latent Semantic Indexing technique and how to organize the discovered labels into a hierarchical label tree.

本文将详述如何使用隐含语义分析的方法来发现类别标签以及将标签组织为层次型标签树。

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Research and Application for Chinese Information Retrieval Based on Latent Semantic Indexing

潜在语义标引在中文信息检索中的研究与实现

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Implementation of supply and demand information classification based on latent semantic indexing

隐含语义索引技术在供求信息分类中的应用

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Web Document Classification Based on Rough Set Latent Semantic Indexing

基于Rough集潜在语义索引的Web文档分类

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Research on Text Classification Based on Ontology and Latent Semantic Indexing Algorithm

基于本体和潜在语义索引算法的文本分类方法研究

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The main contributions include: 1) A novel dimension reduction method, Supervised Latent Semantic Indexing ( SLSI), was proposed to represent documents for text classification tasks.

第一，提出一种有监督的潜在语义索引（SLSI）模型降维方法，用于文本分类任务中的特征表示。

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A Text Semantic Information Processing Method Based on Ontology and Latent Semantic Indexing

一种基于本体论和潜在语义索引的文本语义处理方法

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Research on Document Clustering Technology Based on Latent Semantic Indexing

基于潜在语义索引的文本聚类技术研究

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Latent semantic indexing ( LSI) 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

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An Intelligent Information Retrieval Method: Latent Semantic Indexing

一种智能型的信息检索方法：隐含语义索引法

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Latent Semantic Indexing Based on Level Search Scheme

基于层次搜索的潜在语义索引方法研究

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The system includes five components that are data collection, data pre-process, policy management, data analysis and data presentation. Latent Semantic Indexing ( LSI) is used in IIPS to analyze the information flowing between Intranet and public networks.

提出了一种Intranet信息保护系统的体系结构，所实现的系统包括数据采集、数据预处理、策略管理、数据分析、数据表示五个部分。

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