Wikipedia_Word2vec | Train Word2vec Model based on Wikipedia | Wiki library
kandi X-RAY | Wikipedia_Word2vec Summary
kandi X-RAY | Wikipedia_Word2vec Summary
Wikipedia_Word2vec is a Python library typically used in Web Site, Wiki applications. Wikipedia_Word2vec has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Wikipedia_Word2vec build file is not available. You can download it from GitHub.
Train Word2vec Model based on Wikipedia
Train Word2vec Model based on Wikipedia
Support
Quality
Security
License
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Support
Wikipedia_Word2vec has a low active ecosystem.
It has 273 star(s) with 170 fork(s). There are 16 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 7 have been closed. On average issues are closed in 32 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of Wikipedia_Word2vec is current.
Quality
Wikipedia_Word2vec has 0 bugs and 3 code smells.
Security
Wikipedia_Word2vec has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Wikipedia_Word2vec code analysis shows 0 unresolved vulnerabilities.
There are 3 security hotspots that need review.
License
Wikipedia_Word2vec is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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Wikipedia_Word2vec releases are not available. You will need to build from source code and install.
Wikipedia_Word2vec has no build file. You will be need to create the build yourself to build the component from source.
Wikipedia_Word2vec saves you 40 person hours of effort in developing the same functionality from scratch.
It has 108 lines of code, 3 functions and 4 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Wikipedia_Word2vec and discovered the below as its top functions. This is intended to give you an instant insight into Wikipedia_Word2vec implemented functionality, and help decide if they suit your requirements.
- Iterate over all files in directory .
- Cleans up html .
- Initialize directory .
Get all kandi verified functions for this library.
Wikipedia_Word2vec Key Features
No Key Features are available at this moment for Wikipedia_Word2vec.
Wikipedia_Word2vec Examples and Code Snippets
No Code Snippets are available at this moment for Wikipedia_Word2vec.
Community Discussions
Trending Discussions on Wikipedia_Word2vec
QUESTION
Build the corpus by Wikipedia: ModuleNotFoundError: No module named 'gensim'
Asked 2020-May-03 at 15:49
I copy a simple Python script by Building a Wikipedia Text Corpus for Natural Language Processing to build the corpus by stripping all Wikipedia markup from the articles, using gensim. This is the cose:
...ANSWER
Answered 2020-May-03 at 15:49You do not have the gensim
module installed in your system.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Wikipedia_Word2vec
You can download it from GitHub.
You can use Wikipedia_Word2vec like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use Wikipedia_Word2vec like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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