depression_detection | Detect Depression from Social Network Using Deep learning

by isrugeek Python Version: Current License: No License

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

kandi X-RAY | depression_detection Summary

depression_detection is a Python library typically used in Healthcare, Healthcare Providers applications. depression_detection has no bugs, it has no vulnerabilities and it has low support. However depression_detection build file is not available. You can download it from GitHub.

Depression is a leading cause of disability worldwide. In clinical diagnosis, psychological doctors often make face-to-face interviews referring to the commonly used Diagnostic and Statistical Manual of Mental Disorders criteria, where nine classes of depression symptoms are defined. Problem: effective but not proactive. More than 70% of people in the early stages of depression would not consult the psychological doctors. Popular social media – Facebook, Twitter User generated contents (UGC) Emotions and moods Daily lives & mental states. Advantage: Proactive care Depression behaviors etc..

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Quality

Security

License

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Support

depression_detection has a low active ecosystem.

It has 16 star(s) with 5 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 depression_detection is current.

Quality

depression_detection has 0 bugs and 0 code smells.

Security

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

depression_detection code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

depression_detection 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

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

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

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depression_detection Key Features

No Key Features are available at this moment for depression_detection.

depression_detection Examples and Code Snippets

No Code Snippets are available at this moment for depression_detection.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install depression_detection

You can download it from GitHub.
You can use depression_detection 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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