VADER_Demo_SOTU | A demo VADER that compares sentiment state

by JamesVorder Python Version: Current License: No License

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kandi X-RAY | VADER_Demo_SOTU Summary

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

A demo of VADER that compares the sentiment of state of the union addresses over time. Hutto, C.J. & Gilbert, E.E. (2014). VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text. Eighth International Conference on Weblogs and Social Media (ICWSM-14). Ann Arbor, MI, June 2014.

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Support

VADER_Demo_SOTU has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

VADER_Demo_SOTU has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of VADER_Demo_SOTU is current.

Quality

VADER_Demo_SOTU has no bugs reported.

Security

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

License

VADER_Demo_SOTU 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

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

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

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VADER_Demo_SOTU Key Features

No Key Features are available at this moment for VADER_Demo_SOTU.

VADER_Demo_SOTU Examples and Code Snippets

No Code Snippets are available at this moment for VADER_Demo_SOTU.

Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install VADER_Demo_SOTU

You can download it from GitHub.
You can use VADER_Demo_SOTU 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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