vaderSentiment

v3.3.2

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains. For more information about how to use this package see README

Latest version published 5 years ago

License: MIT

PyPI

GitHub

Package Health Score

52 / 100

security
Security review needed
popularity
Popular
maintenance
Inactive
community
Sustainable

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Popularity

Popular

GitHub Stars: 4.53K
Forks: 1.01K
Contributors: 9

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package vaderSentiment, we found that it has been starred 4,527 times.

Security

Security review needed

Security and license risk for latest version

Release Date: May 22, 2020
Direct Vulnerabilities: 0
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Indirect Vulnerabilities: 0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Inactive

Commit Frequency

No Recent Commits

Open Issues: 43
Open PR: 10
Last Release: 5 years ago
Last Commit: 3 years ago

Further analysis of the maintenance status of vaderSentiment based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for vaderSentiment is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 9
Funding: No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like vaderSentiment is missing a Code of Conduct.

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Package

Python Versions Compatibility: Unspecified

Age: 10 years
Latest Release: 5 years ago
Dependencies: N/A
Versions: 14
Maintainers: 1
Wheels: OS Independent

Readme

VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media. It is fully open-sourced under the [MIT License] (we sincerely appreciate all attributions and readily accept most contributions, but please don't hold us liable).

Citation Information

If you use either the dataset or any of the VADER sentiment analysis tools (VADER sentiment lexicon or Python code for rule-based sentiment analysis engine) in your research, please cite the above paper. For example:

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.

Code examples are provided on the [VADER GitHub Repo]

Details about the scoring are provided on the [VADER GitHub Repo]

VADER has been ported to Java, JavaScript, PHP, Scala, C#, Rust, and Go (see details and links to these on the [VADER GitHub Repo]

Keywords: vader,sentiment,analysis,opinion,mining,nlp,text,data,text analysis,opinion analysis,sentiment analysis,text mining,twitter sentiment,opinion mining,social media,twitter,social,media Platform: any Classifier: Development Status :: 5 - Production/Stable Classifier: Intended Audience :: Science/Research Classifier: License :: OSI Approved :: MIT License Classifier: Natural Language :: English Classifier: Programming Language :: Python :: 3.5 Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence Classifier: Topic :: Scientific/Engineering :: Information Analysis Classifier: Topic :: Text Processing :: Linguistic Classifier: Topic :: Text Processing :: General Description-Content-Type: text/x-rst

FAQs

What is vaderSentiment?

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment... Visit Snyk Advisor to see a full health score report for vaderSentiment, including popularity, security, maintenance & community analysis.

Is vaderSentiment popular?

The python package vaderSentiment receives a total of 54,740 weekly downloads. As such, vaderSentiment popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is vaderSentiment well maintained?

We found indications that vaderSentiment is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is vaderSentiment safe to use?

While scanning the latest version of vaderSentiment, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 21 December-2024, at 03:37 (UTC).

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