COMPARISON OF LATENT SEMANTIC ANALYSIS AND PROBABILISTIC LATENT SEMANTIC ANALYSIS FOR DOCUMENTS CLUSTERING

Marcin Kuta; Jacek Kitowski

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COMPARISON OF LATENT SEMANTIC ANALYSIS AND PROBABILISTIC LATENT SEMANTIC ANALYSIS FOR DOCUMENTS CLUSTERING

机译：文档聚类的潜在语义分析和概率潜在语义分析的比较

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In this paper we compare usefulness of statistical techniques of dimensionality reduction for improving clustering of documents in Polish. We start with partitional and agglomerative algorithms applied to Vector Space Model. Then we investigate two transformations: Latent Semantic Analysis and Probabilistic Latent Semantic Analysis. The obtained results showed advantage of Latent Semantic Analysis technique over probabilistic model. We also analyse time and memory consumption aspects of these transformations and present runtime details for IBM BladeCenter HS21 machine.

机译：在本文中，我们比较了降维统计技术对改进波兰语中的文档聚类的有用性。我们从应用于矢量空间模型的分区和凝聚算法开始。然后，我们研究了两种转换：潜在语义分析和概率潜在语义分析。获得的结果表明，潜在语义分析技术优于概率模型。我们还将分析这些转换的时间和内存消耗方面，并提供IBM BladeCenter HS21计算机的运行时详细信息。

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《Computing and informatics》 |2014年第3期|652-666|共15页
作者
Marcin Kuta; Jacek Kitowski;
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作者单位

AGE University of Science and Technology Department of Computer Science, Al. Mickiewicza 30, 30-059 Krakow, Poland;

AGE University of Science and Technology Department of Computer Science, Al. Mickiewicza 30, 30-059 Krakow, Poland;

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原文格式 PDF
正文语种 eng
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关键词
Document clustering; latent semantic analysis; probabilistic latent semantic analysis; natural language processing;

机译：文档聚类;潜在语义分析;概率潜在语义分析;自然语言处理;

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1. Comparison of Latent Semantic Analysis and Probabilistic Latent Semantic Analysis for Documents Clustering [J] . Kuta, Marcin, Kitowski, Computing and informatics . 2015,第3期

机译：文档聚类的潜在语义分析与概率潜在语义分析的比较
2. Design and evaluation of a parallel document clustering algorithm based on hierarchical latent semantic analysis [J] . Karthick Seshadri, K. Viswanathan Iyer, Mercy Shalinie S Concurrency, practice and experience . 2019,第13期

机译：基于层次化潜在语义分析的并行文档聚类算法设计与评估
3. Arabic Text Summarization Based on Latent Semantic Analysis to Enhance Arabic Documents Clustering [J] . Hanane Froud, Abdelmonaime Lachkar, Said Alaoui Ouatik International Journal of Data Mining & Knowledge Management Process . 2013,第1期

机译：基于潜在语义分析的阿拉伯文本摘要增强阿拉伯文档聚类
4. Integrating Clustering and Multi-Document Summarization by Bi-Mixture Probabilistic Latent Semantic Analysis (PLSA) with Sentence Bases [C] . Chao Shen, TaoLi, Chris H. Q. Ding Innovative applications of artificial intelligence conference;AAAI conference on artificial intelligence;IAAI-11;Symposium on educational advances in artificial intelligence;AAAI-11;EAAI-11 . 2011

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5. Generalized latent semantic analysis for document representation [D] . Matveeva, Irina 2008

机译：用于文档表示的广义潜在语义分析
6. Blind image quality assessment via probabilistic latent semantic analysis [O] . Xichen Yang, Quansen Sun, Tianshu Wang -1

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7. Improved summarization of Chinese spoken documents by probabilistic latent semantic analysis (PLSA) with further analysis and integrated scoring [O] . Sheng-yi Kong, Lin-shan Lee 2006

机译：通过概率潜在语义分析（pLsa）进一步分析和综合评分，改进中文口语文献的摘要
8. Comparison of Human and Latent Semantic Analysis (LSA) Judgements of Pairwise Document Similarities for a News Corpus [R] . Pincombe, B. 2004

机译：新闻语料库中两两文档相似度的人类和潜在语义分析（Lsa）判断的比较

COMPARISON OF LATENT SEMANTIC ANALYSIS AND PROBABILISTIC LATENT SEMANTIC ANALYSIS FOR DOCUMENTS CLUSTERING

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