- POSITIVE
- NEGATIVE
- IRONIC
- MANUAL
Short answer
How can I use my AI to detect irony and sentiment in feedback?
Your AI uses MeaningCloud to scan text for specific sentiment polarity and subtle irony. You get a clear breakdown of how users actually feel. This process reveals the hidden intent behind the words.
The outcomes.
Where your insights land.
The AI sorts processed feedback into these categories.
POSITIVE
Happy customers
The AI identifies praise and glowing reviews. You see exactly what people love about your product.
NEGATIVE
Critical feedback
The AI flags complaints and frustration. This highlights specific friction points that need fixing.
IRONIC
Hidden sarcasm
The AI catches users being sarcastic or ironic. This prevents you from misinterpreting a joke as a compliment.
MANUAL
Human review
Ambiguous or highly complex comments are flagged for you. You decide how to handle the edge cases.
The workflow
What your AI does when feedback arrives.
The AI moves through these steps to turn raw text into structured data.
Ingest text
Your agent pulls raw feedback from your connected sources like spreadsheets or databases.
analyze_sentimentDetect tone
The AI looks for specific sentiment polarity to see if the text is positive or negative.
analyze_sentimentSpot irony
The agent scans for linguistic patterns that indicate sarcasm or irony.
analyze_sentimentCategorize results
The AI organizes the findings into actionable groups based on the detected sentiment.
analyze_sentiment
Try it
Copy these to start.
Use these prompts once you have connected MeaningCloud.
Starting points
These are opening lines. Swap out the bracketed text for your actual data sources.
MeaningCloud Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_ci7wUEXUooIV5O30n0FSRcWOY6xykLKoUj6B44uN/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — MeaningCloud capabilities are ready to use.
{
"mcpServers": {
"meaningcloud-mcp": {
"url": "https://edge.vinkius.com/vk_preview_ci7wUEXUooIV5O30n0FSRcWOY6xykLKoUj6B44uN/mcp"
}
}
}Analyze the sentiment and irony in this Google Sheet of recent reviews.
Scan the latest customer comments in my CSV file and flag any sarcasm.
Look through the feedback from my support ticket export and group them by polarity.
Check this list of user comments for irony and tell me which ones are actually complaints.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect MeaningCloud once, then ask.
Just click the link to connect your account. Your credentials stay encrypted, and you can start asking questions immediately.
Connect MeaningCloud to your AIFAQ
How this task behaves.
- 01
Can the AI automatically reply to negative feedback?
No. The AI only analyzes the sentiment and flags the feedback for you to review.
- 02
Does the AI change my original feedback data?
No. The AI reads your data to perform analysis but never modifies or deletes your original files.
- 03
Can it detect sarcasm in long paragraphs?
Yes. The tool is specifically designed to identify irony and nuance in text.
- 04
Will it work with my existing spreadsheets?
Yes, as long as you can provide the text data to your AI client.
- 05
Does the AI decide which feedback is important?
The AI flags sentiment and irony, but you decide which issues require your attention.
More questions about MeaningCloud? The Connector page answers them. See everything the MeaningCloud Connector can do
Connect MeaningCloud to Claude, Cursor, ChatGPT & more
