主题模型TopicModel：LDA编程实现

谁借莪１个温暖的怀抱￠ 2022-08-08 11:59 128阅读 0赞

http://[blog.csdn.net/pipisorry/article/details/45771045][blog.csdn.net_pipisorry_article_details_45771045]

# LDA的python实现 #

## 从0开始实现 ##

Shuyo的github代码：实现语言,Python,实现模型，LDA，Dirichlet Process Gaussian Mixture Model,online HDP,HDPLDA,Interactive Topic Model,Labeled LDA

地址:[https://github.com/shuyo/iir/tree/master/lda][https_github.com_shuyo_iir_tree_master_lda]

arongdari的github代码：实现语言,Python,实现模型，LDA，Correlated Topic Model,Relational topic model,Author-Topic model,HMM-LDA,Discrete Infinite logistic normal,Supervised Topic Model,Hierarchical Dirichlet process,Hierarchical Dirichlet scaling process

地址：[https://github.com/arongdari/python-topic-model][https_github.com_arongdari_python-topic-model]

ahmaurya的github代码：实现语言，Python,实现模型，Topic Over Time

github代码地址：[https://github.com/ahmaurya/topics\_over\_time][https_github.com_ahmaurya_topics_over_time]

Blei实验室的代码：实现语言，Python，实现模型，online lda,online HDP,turbo topic model,topic model visualization engine，实现语言，C，实现模型，correlated topic model,discrete infinite logistic normal,HLDA,lda,实现语言C++，实现模型，ctr,class-slda，Dynamic Topic model and the influence model,实现语言R，实现模型 lda

github代码地址：[http://www.cs.columbia.edu/~blei/topicmodeling\_software.html][http_www.cs.columbia.edu_blei_topicmodeling_software.html]

gensim实现\[[主题模型TopicModel：通过gensim实现LDA ][TopicModel_gensim_LDA]\]

\[[Latent Dirichlet Allocation in Python  
][Latent Dirichlet Allocation in Python]

[Latent Dirichlet Allocation in Python][Latent Dirichlet Allocation in_Python]

[Online LDA的python实现][Online LDA_python][  
][Latent Dirichlet Allocation in_Python]

[Gensim and LDA: a quick tour][Gensim and LDA_ a quick tour]

[github:python-topic-model][https_github.com_arongdari_python-topic-model]

[Multicore LDA in Python: from over-night to over-lunch][Multicore LDA in Python_ from over-night to over-lunch]\]

\[[Getting started with Latent Dirichlet Allocation in Python][] install [lda][]\]

## pyspark实现LDA ##

\[[Spark：聚类算法之LDA主题模型算法 ][Spark_LDA_]\]

[皮皮Blog][Blog]

# LDA的c/c++实现[   ][Link 1] #

[GibbsLDA++: A C/C++ Implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling for Parameter Estimation and Inference][Link 1][  
][Link 2]

[GibbsLDA++: A C/C++ Gibbs Sampling LDA | SourceForge.net][Link 2][  
][Link 3]

[plda - A parallel C++ implementation of fast Gibbs sampling of Latent Dirichlet Allocation - Google Project Hosting][Link 3][  
][Link 4]

[Latent Dirichlet Allocation in C][Link 4][  
][Link 5]

[Latent Dirichlet Allocation(LDA)主题模型算法实现及源码解析\_AriannaChen\_新浪博客][Link 5]

[皮皮Blog][Blog]

# LDA的java实现 #

MALLET:实现语言，Java，实现模型，LDA，HLDA,Pachinko Allocation Model，此外，还实现了HMM，最大熵马尔科夫模型和条件随机场；

[yangliuy/LDAGibbsSampling · GitHub][yangliuy_LDAGibbsSampling _ GitHub][  
][Link 6]

[JGibbLDA: A Java Implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling for Parameter Estimation and Inference][Link 6][  
][Link 7]

[概率语言模型及其变形系列(5)-LDA Gibbs Sampling 的JAVA实现 - Coding for Dreams - 博客频道 - CSDN.NET][Link 7][  
][Link 8]

[http://www.arbylon.net/projects/LdaGibbsSampler.java][Link 8]

# LDA的R实现[   ][Link 9] #

[R下用GlossEx做关键词抽取和主题分析][Link 9]

from:[http://blog.csdn.net/pipisorry/article/details/45771045][blog.csdn.net_pipisorry_article_details_45771045]

ref: [主题模型及其变种的实现代码汇总][Link 10]

[blog.csdn.net_pipisorry_article_details_45771045]: http://blog.csdn.net/pipisorry/article/details/45771045
[https_github.com_shuyo_iir_tree_master_lda]: https://github.com/shuyo/iir/tree/master/lda
[https_github.com_arongdari_python-topic-model]: https://github.com/arongdari/python-topic-model
[https_github.com_ahmaurya_topics_over_time]: https://github.com/ahmaurya/topics_over_time
[http_www.cs.columbia.edu_blei_topicmodeling_software.html]: http://www.cs.columbia.edu/%7Eblei/topicmodeling_software.html
[TopicModel_gensim_LDA]: http://blog.csdn.net/pipisorry/article/details/46447561
[Latent Dirichlet Allocation in Python]: http://www.mblondel.org/journal/2010/08/21/latent-dirichlet-allocation-in-python/
[Latent Dirichlet Allocation in_Python]: https://shuyo.wordpress.com/2011/05/18/latent-dirichlet-allocation-in-python/
[Online LDA_python]: http://blog.csdn.net/pirage/article/details/8898544
[Gensim and LDA_ a quick tour]: http://nbviewer.ipython.org/gist/boskaiolo/cc3e1341f59bfbd02726
[Multicore LDA in Python_ from over-night to over-lunch]: http://rare-technologies.com/multicore-lda-in-python-from-over-night-to-over-lunch/
[Getting started with Latent Dirichlet Allocation in Python]: http://chrisstrelioff.ws/sandbox/2014/11/13/getting_started_with_latent_dirichlet_allocation_in_python.html
[lda]: https://github.com/ariddell/lda
[Spark_LDA_]: http://blog.csdn.net/pipisorry/article/details/52912179
[Blog]: http://blog.csdn.net/pipisorry
[Link 1]: http://gibbslda.sourceforge.net/
[Link 2]: http://sourceforge.net/projects/gibbslda/
[Link 3]: https://code.google.com/p/plda/
[Link 4]: http://www.cs.princeton.edu/~blei/lda-c/index.html
[Link 5]: http://blog.sina.com.cn/s/blog_8eee7fb60101d06p.html
[yangliuy_LDAGibbsSampling _ GitHub]: https://github.com/yangliuy/LDAGibbsSampling
[Link 6]: http://jgibblda.sourceforge.net/
[Link 7]: http://blog.csdn.net/yangliuy/article/details/8457329
[Link 8]: http://www.arbylon.net/projects/LdaGibbsSampler.java
[Link 9]: http://voidpatterns.org/2015/03/conspiracy-theories-topic-modeling-keyword-extraction/
[Link 10]: http://blog.sina.com.cn/s/blog_4c9dc2a10102vm80.html