Final_word_Similarity | word similarity calculation method of Synonyms Cilin
kandi X-RAY | Final_word_Similarity Summary
kandi X-RAY | Final_word_Similarity Summary
Final_word_Similarity is a Python library. Final_word_Similarity has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Final_word_Similarity build file is not available. You can download it from GitHub.
Combined with the word similarity calculation method of Synonyms Cilin Extended Edition and Hownet, the vocabulary coverage is more and the results are more accurate.
Combined with the word similarity calculation method of Synonyms Cilin Extended Edition and Hownet, the vocabulary coverage is more and the results are more accurate.
Support
Quality
Security
License
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Support
Final_word_Similarity has a low active ecosystem.
It has 660 star(s) with 149 fork(s). There are 15 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 10 have been closed. On average issues are closed in 248 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Final_word_Similarity is current.
Quality
Final_word_Similarity has 0 bugs and 35 code smells.
Security
Final_word_Similarity has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Final_word_Similarity code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Final_word_Similarity is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
Final_word_Similarity releases are not available. You will need to build from source code and install.
Final_word_Similarity has no build file. You will be need to create the build yourself to build the component from source.
Final_word_Similarity saves you 246 person hours of effort in developing the same functionality from scratch.
It has 599 lines of code, 41 functions and 7 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Final_word_Similarity and discovered the below as its top functions. This is intended to give you an instant insight into Final_word_Similarity implemented functionality, and help decide if they suit your requirements.
- Compute the similarity between two words
- Compute similarity between two code
- Get common string
- Return code layer
- Load glossary table
- Parse text
- Parses text and returns two words
- Load sememe element
- Parse a line from a string
- Calculates the Pearson correlation coefficient
- Multiply a
- Returns the final similarity between two pairs
- Compute middle similarity between two words
- Compute similarity between two words
- Compute similarity between two sequences
Get all kandi verified functions for this library.
Final_word_Similarity Key Features
No Key Features are available at this moment for Final_word_Similarity.
Final_word_Similarity Examples and Code Snippets
No Code Snippets are available at this moment for Final_word_Similarity.
Community Discussions
No Community Discussions are available at this moment for Final_word_Similarity.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Final_word_Similarity
You can download it from GitHub.
You can use Final_word_Similarity 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 Final_word_Similarity 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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