vader-sentiment

Analyze sentiment in social media text using the VADER lexicon.

2|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/DTMC-marketplace/governance --skill vader-sentiment
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vader-sentiment
Source: https://github.com/DTMC-marketplace/governance/tree/main/skills/vader-sentiment
Command: npx skills add https://github.com/DTMC-marketplace/governance --skill vader-sentiment

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the need for nuanced sentiment analysis, particularly for short, informal text found on social media platforms, which often eludes general-purpose sentiment analyzers.

Core Features & Use Cases

  • Social Media Sentiment Analysis: Leverages VADER (Valence Aware Dictionary and sEntiment Reasoner) to accurately gauge sentiment in social media text.
  • Societal Compliance: Assists in evaluating AI systems against EU AI Act Article 9 requirements by analyzing public perception or user feedback.
  • Risk Assessment: Helps identify potential societal risks by monitoring sentiment trends in online discussions.

Quick Start

Use the vader-sentiment skill to analyze the sentiment of the following text: "This new product launch is absolutely fantastic!".

Frequently Asked Questions about vader-sentiment

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze sentiment in social media text effectively?

Social media sentiment analysis uses the VADER lexicon to evaluate valence, arousal, and dominance in short-form content, effectively processing informal language and slang to gauge public perception for compliance and risk mitigation.

What is VADER sentiment analysis used for in compliance?

VADER sentiment analysis is used for societal compliance to evaluate public perception and user feedback, helping monitor online discussions and identify societal risks to meet regulatory requirements like the EU AI Act.

Can I use sentiment analysis for EU AI Act Article 9 risk assessment?

Yes, you can use sentiment analysis for EU AI Act Article 9 risk assessment by evaluating public perception and user feedback to identify potential societal risks in online discussions and ensure compliance.

Why does general sentiment analysis fail on short informal social media posts?

General sentiment analysis fails on short informal social media posts because it lacks a specialized lexicon to process slang and informal language effectively, leading to inaccurate valence and dominance assessments.

Does VADER sentiment analysis require specific dependencies or components?

VADER sentiment analysis requires the VADER lexicon and its associated algorithms to process informal language effectively, with no additional external dependencies or components needed for societal risk mitigation.

What are the limitations of using lexicon-based sentiment analysis for risk monitoring?

Lexicon-based sentiment analysis for risk monitoring is limited by its reliance on predefined vocabulary, which may struggle with nuanced context, sarcasm, or rapidly evolving slang not present in the lexicon.