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https://alex-mcavoy.github.io/artificial-intelligence/nlp/80565736.html
【概述】潜在狄利克雷分配(Latent Dirichlet Allocation,LDA)是文本集合的生成概率模型,其假设话题由单词的多项分布表示,文本由话题的多项分布表示,单词分布和话题分布的先验分布都是狄利克雷分布,文本内容不同是由于它们的话题分布不同 LDA 模型表示了文本集合自动生成过程:首先,基于单词分布的先验分布(狄利克雷分布)生成多个单词分布,即决定多个话题内容;之后,基于话题分布的
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https://alex-mcavoy.github.io/artificial-intelligence/nlp/80565736.html
【概述】潜在狄利克雷分配(Latent Dirichlet Allocation,LDA)是文本集合的生成概率模型,其假设话题由单词的多项分布表示,文本由话题的多项分布表示,单词分布和话题分布的先验分布都是狄利克雷分布,文本内容不同是由于它们的话题分布不同 LDA 模型表示了文本集合自动生成过程:首先,基于单词分布的先验分布(狄利克雷分布)生成多个单词分布,即决定多个话题内容;之后,基于话题分布的
The text was updated successfully, but these errors were encountered: