https://github.com/laserwave/topic_models

implemented : lsa, plsa, lda
https://github.com/laserwave/topic_models

topic-modeling topic-models

Last synced: 3 months ago
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implemented : lsa, plsa, lda

• Host: GitHub
• URL: https://github.com/laserwave/topic_models
• Owner: laserwave
• Created: 2016-05-31T06:46:22.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2016-07-08T05:30:35.000Z (over 8 years ago)
• Last Synced: 2024-04-09T03:06:12.495Z (7 months ago)
• Topics: topic-modeling, topic-models
• Language: Python
• Homepage:
• Size: 6.65 MB
• Stars: 96
• Watchers: 3
• Forks: 45
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-topic-models - topic_models - Python implementation of LSA, PLSA and LDA (Learning Implementations (hopefully easy to understand) / Embedding based Topic Models)

README

        
# Natural Language Processing

Implemented

============

## LSA (Latent Semantic Analysis) 

 

![lsa](https://github.com/laserwave/NLP-demos/blob/master/images/lsa.png)

[自然语言处理之LSA](http://zhikaizhang.cn/2016/05/31/%E8%87%AA%E7%84%B6%E8%AF%AD%E8%A8%80%E5%A4%84%E7%90%86%E4%B9%8BLSA/)

## PLSA (Probabilistic Latent Semantic Analysis) 

 

![plsa1](https://github.com/laserwave/NLP-demos/blob/master/images/plsa2.png)

![plsa2](https://github.com/laserwave/NLP-demos/blob/master/images/plsa1.png)

 

[自然语言处理之PLSA](http://zhikaizhang.cn/2016/06/17/%E8%87%AA%E7%84%B6%E8%AF%AD%E8%A8%80%E5%A4%84%E7%90%86%E4%B9%8BPLSA/)

## LDA (Latent Dirichlet Allocation) 

![lda1](https://github.com/laserwave/NLP-demos/blob/master/images/lda1.png)

![lda2](https://github.com/laserwave/NLP-demos/blob/master/images/lda2.png)

![lda3](https://github.com/laserwave/NLP-demos/blob/master/images/lda3.png)

[自然语言处理之LDA](http://zhikaizhang.cn/2016/06/29/%E8%87%AA%E7%84%B6%E8%AF%AD%E8%A8%80%E5%A4%84%E7%90%86%E4%B9%8BLDA/)

Author

============

 * ZhikaiZhang 

 * Email 

 * Blog