SentencePairMatch_doc2vec-word2vec | 基于Doc2vec和Word2vec的句子对匹配方法

by mpk001 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | SentencePairMatch_doc2vec-word2vec Summary

SentencePairMatch_doc2vec-word2vec is a Python library. SentencePairMatch_doc2vec-word2vec has no bugs, it has no vulnerabilities and it has low support. However SentencePairMatch_doc2vec-word2vec build file is not available. You can download it from GitHub.

基于Doc2vec和Word2vec的句子对匹配方法

Support

Quality

Security

License

Reuse

Support

SentencePairMatch_doc2vec-word2vec has a low active ecosystem.

It has 16 star(s) with 6 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 680 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SentencePairMatch_doc2vec-word2vec is current.

Quality

SentencePairMatch_doc2vec-word2vec has 0 bugs and 0 code smells.

Security

SentencePairMatch_doc2vec-word2vec has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

SentencePairMatch_doc2vec-word2vec code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

SentencePairMatch_doc2vec-word2vec 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.

Reuse

SentencePairMatch_doc2vec-word2vec releases are not available. You will need to build from source code and install.

SentencePairMatch_doc2vec-word2vec has no build file. You will be need to create the build yourself to build the component from source.

SentencePairMatch_doc2vec-word2vec saves you 82 person hours of effort in developing the same functionality from scratch.

It has 211 lines of code, 11 functions and 5 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed SentencePairMatch_doc2vec-word2vec and discovered the below as its top functions. This is intended to give you an instant insight into SentencePairMatch_doc2vec-word2vec implemented functionality, and help decide if they suit your requirements.

Load the texts from the csv file
Extract probability from fpred .
Load word2vec embeddings .
Load word2vec embeddings .
Performs sentence represention .
Compute consin distance between two vectors .

Get all kandi verified functions for this library.

SentencePairMatch_doc2vec-word2vec Key Features

No Key Features are available at this moment for SentencePairMatch_doc2vec-word2vec.

SentencePairMatch_doc2vec-word2vec Examples and Code Snippets

No Code Snippets are available at this moment for SentencePairMatch_doc2vec-word2vec.

Community Discussions

No Community Discussions are available at this moment for SentencePairMatch_doc2vec-word2vec.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install SentencePairMatch_doc2vec-word2vec

You can download it from GitHub.
You can use SentencePairMatch_doc2vec-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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