Dependency_SentimentAnalysis | 基于依存句法的句子级细粒度情感计算

by ruizhang1993 Python Version: Current License: No License

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

kandi X-RAY | Dependency_SentimentAnalysis Summary

Dependency_SentimentAnalysis is a Python library. Dependency_SentimentAnalysis has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

基于依存句法的句子级细粒度情感计算

Support

Quality

Security

License

Reuse

Support

Dependency_SentimentAnalysis has a low active ecosystem.

It has 21 star(s) with 4 fork(s). There are 2 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 636 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Dependency_SentimentAnalysis is current.

Quality

Dependency_SentimentAnalysis has 0 bugs and 0 code smells.

Security

Dependency_SentimentAnalysis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Dependency_SentimentAnalysis code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Dependency_SentimentAnalysis 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

Dependency_SentimentAnalysis releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Dependency_SentimentAnalysis saves you 197 person hours of effort in developing the same functionality from scratch.

It has 484 lines of code, 23 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 Dependency_SentimentAnalysis and discovered the below as its top functions. This is intended to give you an instant insight into Dependency_SentimentAnalysis implemented functionality, and help decide if they suit your requirements.

Add a child to the tree .
Calculate polarity .
Load a dictionary of dictionaries .
Initialize the model .
Normalize a value .
Process ADV .
Returns the postagger model .
Apply polarity to the root node .
Process CMP .
Process the ATT element .

Get all kandi verified functions for this library.

Dependency_SentimentAnalysis Key Features

No Key Features are available at this moment for Dependency_SentimentAnalysis.

Dependency_SentimentAnalysis Examples and Code Snippets

No Code Snippets are available at this moment for Dependency_SentimentAnalysis.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Dependency_SentimentAnalysis

You can download it from GitHub.
You can use Dependency_SentimentAnalysis 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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