- POSITIVE
- NEGATIVE
- NEUTRAL
- HUMAN
Short answer
How can I use my AI to check the sentiment of feedback?
Your AI runs text through a specialized pipeline to identify if feedback is positive, negative, or neutral. This process turns messy text into clear, actionable categories. You'll see how the classification works below.
Sentiment outcomes.
Where the tone lands.
The AI processes your text and sorts it into these specific buckets.
POSITIVE
Happy customers
The AI identifies praise and satisfaction. You get a clear signal when users are happy with your service.
NEGATIVE
Critical feedback
The AI flags frustration, anger, or complaints. This helps you spot problems before they escalate.
NEUTRAL
Objective statements
The AI catches factual or emotionless input. These are useful for identifying purely informational feedback.
HUMAN
Manual review needed
The AI flags ambiguous or highly complex text. You decide how to handle these edge cases personally.
The workflow
What your AI does when text arrives.
The AI handles the processing so you don't have to manually read every single entry.
Ingest text
Your AI pulls the raw feedback strings from your provided source.
run_pipelineDetect tone
The pipeline analyzes the linguistic patterns to determine the underlying emotion.
run_pipelineCategorize results
The AI assigns a specific sentiment label to every piece of processed text.
run_pipelineFlag outliers
The system identifies entries where the sentiment is unclear or conflicting.
run_pipeline
Try it
Copy these to start.
Use these prompts to trigger the sentiment analysis immediately.
Starting points
Swap the bracketed text for your actual data source, like a specific spreadsheet or a Slack channel.
OneAI Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_OUuZaJpMXxYZjYxd7ELA63wi1sMTV0hm1c50LuC2/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 — OneAI capabilities are ready to use.
{
"mcpServers": {
"oneai-mcp": {
"url": "https://edge.vinkius.com/vk_preview_OUuZaJpMXxYZjYxd7ELA63wi1sMTV0hm1c50LuC2/mcp"
}
}
}Run a sentiment analysis on the latest feedback in my customer support Slack channel.
Analyze the emotional tone of the comments in this Google Sheet.
Check the sentiment of the recent reviews in my product repository.
Go through the feedback from my latest email campaign and tell me if people are happy.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect OneAI once, then ask.
Just link your account once. Your credentials stay encrypted, and you can start chatting with your data right away.
Connect OneAI to your AIFAQ
How this task behaves.
- 01
Can the AI change the original feedback text?
No. The AI only reads and analyzes the text. It does not modify your source data.
- 02
Does the AI automatically reply to negative feedback?
No. The AI identifies the sentiment, but you must decide if and how to respond to the user.
- 03
Can it handle sarcasm?
The AI attempts to detect tone, but sarcasm can be tricky. It will flag ambiguous text for your review.
- 04
How does it handle multiple languages?
The pipeline processes the text provided, but accuracy depends on the language of the input.
- 05
Will it delete any of my feedback logs?
No. This MCP is designed for analysis only and has no capability to delete data.
More questions about OneAI? The Connector page answers them. See everything the OneAI Connector can do
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