PLSI与LDA的等价性

Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval Pub Date : 2003-07-28 DOI:10.1145/860435.860537

M. Girolami, A. Kabán

{"title":"PLSI与LDA的等价性","authors":"M. Girolami, A. Kabán","doi":"10.1145/860435.860537","DOIUrl":null,"url":null,"abstract":"Latent Dirichlet Allocation (LDA) is a fully generative approach to language modelling which overcomes the inconsistent generative semantics of Probabilistic Latent Semantic Indexing (PLSI). This paper shows that PLSI is a maximum a posteriori estimated LDA model under a uniform Dirichlet prior, therefore the perceived shortcomings of PLSI can be resolved and elucidated within the LDA framework.","PeriodicalId":209809,"journal":{"name":"Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"232","resultStr":"{\"title\":\"On an equivalence between PLSI and LDA\",\"authors\":\"M. Girolami, A. Kabán\",\"doi\":\"10.1145/860435.860537\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Latent Dirichlet Allocation (LDA) is a fully generative approach to language modelling which overcomes the inconsistent generative semantics of Probabilistic Latent Semantic Indexing (PLSI). This paper shows that PLSI is a maximum a posteriori estimated LDA model under a uniform Dirichlet prior, therefore the perceived shortcomings of PLSI can be resolved and elucidated within the LDA framework.\",\"PeriodicalId\":209809,\"journal\":{\"name\":\"Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"232\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/860435.860537\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/860435.860537","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 232

摘要

潜在狄利克雷分配(LDA)是一种完全生成的语言建模方法，克服了概率潜在语义索引(PLSI)生成语义不一致的问题。本文表明，PLSI是统一Dirichlet先验下的最大后验估计LDA模型，因此PLSI的感知缺陷可以在LDA框架内得到解决和阐明。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

On an equivalence between PLSI and LDA

Latent Dirichlet Allocation (LDA) is a fully generative approach to language modelling which overcomes the inconsistent generative semantics of Probabilistic Latent Semantic Indexing (PLSI). This paper shows that PLSI is a maximum a posteriori estimated LDA model under a uniform Dirichlet prior, therefore the perceived shortcomings of PLSI can be resolved and elucidated within the LDA framework.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval

自引率

0.00%

发文量