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meta-sentiment-analysis

Calculate NSS and SOV and extract conversation themes from brand sentiment data.

1|Updated Mar 19, 2026
Search Tags:#share-of-voice#sentiment-analysis#social-listening#net-sentiment-score#theme-extraction#monthly-reporting
One-click install
npx skills add https://github.com/peterbamuhigire/social-media-skills --skill meta-sentiment-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: meta-sentiment-analysis
Source: https://github.com/peterbamuhigire/social-media-skills/tree/main/meta-sentiment-analysis
Command: npx skills add https://github.com/peterbamuhigire/social-media-skills --skill meta-sentiment-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Produces a rigorous methodology to measure, score, and interpret brand sentiment data across platforms, enabling consistent monthly reporting and informed strategic decisions.

Core Features & Use Cases

  • Manual vs Automated scoring, including Net Sentiment Score (NSS) and Share of Voice (SOV) calculations
  • Conversation theme extraction to identify top positive and negative themes for content planning
  • Translation of sentiment insights into concrete strategy actions and monthly reports

Quick Start

Provide client context and run the sentiment analysis workflow to generate NSS, SOV, and themes.

Frequently Asked Questions about meta-sentiment-analysis

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

FAQPage Schema
How do I calculate Net Sentiment Score and Share of Voice for monthly brand reporting?▼

Brand sentiment analysis applies a rigorous scoring methodology to measure cross-platform sentiment data. It calculates Net Sentiment Score and Share of Voice to produce consistent monthly reports and inform strategic decisions.

What is the best way to extract conversation themes from social listening data?▼

Extracting conversation themes from social listening data involves identifying top positive and negative topics across platforms. This theme extraction translates sentiment findings into concrete content planning and crisis management strategies.

How do I translate sentiment data insights into actionable marketing strategies?▼

Translating sentiment data into actionable marketing strategies requires analyzing NSS, SOV, and extracted conversation themes. These insights are converted into concrete strategic actions to guide content planning and crisis response.

Do I need a specific social listening tool to measure brand sentiment accurately?▼

Accurate brand sentiment measurement requires data from a social listening playbook. You must provide client context and supply the necessary social listening data to run the analysis workflow and generate accurate metrics.

Are there limitations when running sentiment analysis on non-English content?▼

Sentiment analysis on non-English content has known NLP limitations. Manual review is strongly recommended for non-English content to ensure accurate theme extraction, scoring, and strategic interpretation.

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