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The Sentiment Analyzer skill searches Twitter, Reddit, and Instagram for posts about a brand or topic, classifies each post by sentiment, extracts recurring themes, and produces a scored summary. It handles multi-platform data collection and analysis in a single workflow.

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Example Prompts

  • “What’s the sentiment around Tesla on social media?”
  • “How are people feeling about Cursor IDE on Reddit?”
  • “Analyze public sentiment about the new iPhone launch”
  • “What do people think about remote work policies?”

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How It Works

1

Search across platforms

Queries Twitter, Reddit, and Instagram using the target brand or topic as keywords.
2

Classify sentiment

Each post is classified into one of five levels: positive, leaning-positive, neutral, leaning-negative, or negative.
3

Extract themes

Identifies 5-8 recurring themes across the collected posts (e.g., pricing concerns, feature praise, competitor comparisons).
4

Generate report

Produces a structured report with an overall sentiment score, platform breakdown, key themes, and notable posts.

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Xpoz Tools Used

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Output Format

  • Overall Sentiment Score: 0-100 scale (0 = extremely negative, 100 = extremely positive)
  • Platform Breakdown: Per-platform sentiment scores and post counts in a table
  • Key Themes: 5-8 recurring themes with sentiment tendency and representative quotes
  • Notable Posts: High-engagement posts that exemplify the dominant sentiment
  • Summary: Concise narrative of findings and actionable insights

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Get Started

Get a free access key at xpoz.ai/get-token. See the installation guide to add this skill to your agent.