- SENTIMENT
- TOPIC
- URGENT
- HUMAN
Short answer
How can I use my AI to classify text sentiment and topics?
Your AI uses the classify_text tool to scan text and assign it to predefined categories or sentiment scores. This allows you to organize feedback, support tickets, or social mentions automatically. You'll see the specific breakdown of how this works below.
Where your data lands.
Organized outcomes.
The AI sorts every piece of text into one of these outcomes.
SENTIMENT
Tone detection
The AI identifies if text is positive, negative, or neutral. You get a clear view of how people feel about your product.
TOPIC
Subject grouping
The AI labels text based on specific subjects like pricing, features, or bugs. This keeps your data organized by theme.
URGENT
Priority flags
The AI picks out specific sentiment or topics that require immediate attention. You can focus on the most critical issues first.
HUMAN
Manual review
If the AI finds text that doesn't fit your categories, it stays unclassified. You decide how to handle these edge cases.
The workflow
What your AI does when text arrives.
The AI acts as a filter between your raw data and your organized workspace.
Read the input
Your agent pulls the raw text from your connected source to prepare it for analysis.
classify_textAnalyze sentiment
The AI runs the text through NLP models to determine the underlying emotion.
classify_textIdentify topics
The model scans for keywords and context to assign a subject category.
classify_textApply labels
The AI attaches the resulting sentiment and topic tags to your data records.
classify_text
Try it
Copy these to start.
Use these prompts to trigger the classification process.
Starting points
Swap out the bracketed text for your actual data sources like a Google Sheet or a Slack channel.
MonkeyLearn Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_hyDDEZ4vXmuIKhDYNNvrmR8MIwEJKQ8m0bZeKHs6/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 — MonkeyLearn capabilities are ready to use.
{
"mcpServers": {
"monkeylearn-alternative-1-mcp": {
"url": "https://edge.vinkius.com/vk_preview_hyDDEZ4vXmuIKhDYNNvrmR8MIwEJKQ8m0bZeKHs6/mcp"
}
}
}Classify the sentiment of the latest messages in my #support Slack channel.
Look at the rows in my 'Customer Feedback' Google Sheet and label the topics.
Analyze the sentiment of the last ten emails from my contact list.
Categorize the recent entries in my feedback repo by subject matter.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect MonkeyLearn once, then ask.
Just link your account with one click. Your login stays encrypted, and you can find the full technical details on the Connector page.
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How this task behaves
- 01
Can the AI change the original text?
No. The AI only reads the text and adds labels or categories. It won't edit your original messages or documents.
- 02
What happens if the AI doesn't recognize a topic?
The AI will leave the text unclassified. It won't guess or invent categories that you haven't already set up in MonkeyLearn.
- 03
Does the AI delete any of my data?
No. This tool is for reading and labeling. It has no capability to delete or modify your existing records.
- 04
Can I use my own custom categories?
Yes. The AI uses the specific models and categories you have configured within your MonkeyLearn account.
- 05
How does the AI know which text to classify?
The AI only processes the text you specifically point it toward in your chat prompt, such as a specific sheet or channel.
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