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Text Classifier

Text classifier template that sorts text into one or more categories.

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Sheet
Generating
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Explore Builder
Video
Interactive demo available on desktop
Interactive demo available on desktop
🏷

Text Classifier

Text classifier template that sorts text into one or more categories.

Start Building
Talk to Us
Talk to Us

“We have delivered powerful assistive tools to our students to help them research, plan and structure their books with AirOps. They’ve never been happier.”

Chris Meier

Director of Data at Bambee
Try App
Explore Builder
Video
Interactive demo available on desktop
Interactive demo available on desktop

Text Classification at Scale

With AirOps easily use Large Language Models (LLMs) like GPT-3.5 and Claude to build custom text classifiers. This template lets you easily specify multiple categories of text to classify, use it as a starting point and make it your own.

What makes AirOps different?

Unlike standard classification models and NLP tools, AirOps lets you build custom classification workflows, blending custom instructions with your data and more. AirOps Apps can also be run from platforms like Google Sheets and Snowflake or via our bulk CSV runner. Whether you're looking to classify thousands of financial transactions, analyze RFPs or proposals, or review applications for specific criteria - AirOps Text Classify is the way to go!

Have a question? We're here to help!

Our team is available to help, just book a call with our services team.

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Structure and then write long form content using GPT-4
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{
"Issues": [
	{
	"Issue": "Poor battery life",
    "Status": "Unresolved",
    "Product": "UltraTech Smartphone X",
    "Issue_ID": "1",
    "Priority": "High",
    "Sentiment": "Negative"
	},
  {
  	"Issue": "Sync problem",
    "Status": "Unresolved",
    "Product": "Wireless Earbuds",
    "Issue_ID": "2",
    "Priority": "Medium",
    "Sentiment": "Negative"
    }
	],
	"Customer_Info": 
  	{
    	"Name": "Ilya S.",
      "Email": "",
      "Sentiment": "Negative",
    "Temperament": "Frustrated",
    "Preferred_Contact": "Email"
    },
"Resolved_Issues": [],