GSDMM | Dirichlet Multinomial Mixture Model-based Approach
kandi X-RAY | GSDMM Summary
kandi X-RAY | GSDMM Summary
GSDMM is a Jupyter Notebook library. GSDMM has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
A Dirichlet Multinomial Mixture Model-based Approach for Short Text Clustering. The datasets are in format of JSON like follows: {"text": "centrepoint winter white gala london", "cluster": 65} {"text": "mourinho seek killer instinct", "cluster": 96} {"text": "roundup golden globe won seduced johansson voice", "cluster": 72} {"text": "travel disruption mount storm cold air sweep south florida", "cluster": 140} {"text": "wes welker blame costly turnover", "cluster": 89} ......
A Dirichlet Multinomial Mixture Model-based Approach for Short Text Clustering. The datasets are in format of JSON like follows: {"text": "centrepoint winter white gala london", "cluster": 65} {"text": "mourinho seek killer instinct", "cluster": 96} {"text": "roundup golden globe won seduced johansson voice", "cluster": 72} {"text": "travel disruption mount storm cold air sweep south florida", "cluster": 140} {"text": "wes welker blame costly turnover", "cluster": 89} ......
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Support
GSDMM has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
GSDMM has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of GSDMM is current.
Quality
GSDMM has no bugs reported.
Security
GSDMM has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
GSDMM does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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GSDMM releases are not available. You will need to build from source code and install.
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GSDMM Key Features
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GSDMM Examples and Code Snippets
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