sentiment-analyzer | Classification model for sentiment analysis

by smacawi Python Version: Current License: MIT

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

kandi X-RAY | sentiment-analyzer Summary

sentiment-analyzer is a Python library. sentiment-analyzer has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Classification model for sentiment analysis

Support

Quality

Security

License

Reuse

Support

sentiment-analyzer has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of sentiment-analyzer is current.

Quality

sentiment-analyzer has no bugs reported.

Security

sentiment-analyzer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

sentiment-analyzer 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

sentiment-analyzer 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.

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sentiment-analyzer Key Features

No Key Features are available at this moment for sentiment-analyzer.

sentiment-analyzer Examples and Code Snippets

No Code Snippets are available at this moment for sentiment-analyzer.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install sentiment-analyzer

You can download it from GitHub.
You can use sentiment-analyzer 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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