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Sentiment Analyze

Assess the sentiment of any text as positive or negative

Start Building
Talk to Us
Sheet
Generating
Try App
Explore Builder
Video
Interactive demo available on desktop
Interactive demo available on desktop
👍

Sentiment Analyze

Assess the sentiment of any text as positive or negative

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

Flexible Sentiment Analysis at Scale

With AirOps, use Large Language Models (LLMs) like GPT-3.5 and Claude to build custom sentiment analysis tools and workflows. This flexible template lets you easily specify multiple types of text to extract sentiment from--use it as a starting point and make it your own.

What makes AirOps different?

Unlike standard sentiment analysis tools, AirOps lets you build custom 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 extract sentiment from thousands of social media posts, customer reviews, support tickets, or sales calls--AirOps Sentiment Analyze 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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{
"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": [],