Perform sentiment analysis at scale with AI

What is sentiment analysis and why is it valuable?

Think of Sentiment Analysis as a vibe-o-meter for any type of text-based data, whether a few words or hundreds of pages.

• What it lets you do: Determine positive, negative, or neutral sentiment, gauge customer satisfaction, and monitor brand reputation.
• Use cases: Support tickets, sales call transcripts, customer reviews, brand mentions, user interviews, and more.
• Impact on your business: Better customer service, more targeted marketing, better product<>user feedback loops, and improved efficiency

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The Old Way: Why sentiment analysis was often a pipe dream

Previously, sentiment analysis was often out of reach for resource and time-constrained companies. It was:

• Expensive: You either had to pay for manual human tagging or clunky, costly specialized software.
• Time-consuming: You had to endure lengthy setup and model training times - weeks or years, not minutes.
• Accuracy: You were at the mercy of the quality and quantity of available data.
• Technical skills required: You needed expertise in machine learning and engineering -  expensive and out of reach for most companies!

The New Way: Now anyone can easily perform sentiment analysis at scale

Introducing AirOps’ Sentiment Analyze - now you can quickly, scalably, and affordably run sentiment analysis on any of your text data:

Accessible: Requires no technical ability - if you can use Google Sheets, you can use Sentiment Analyze!

Use it anywhere:

• In AirOps' Web App
• In our Browser Extensions: Chrome/Firefox Extensions, VSCode Extension
• In your Google Sheet: AirOps custom Gsheet formula
• In your Data warehouse: User-defined SQL function (e.g., Snowflake)
• Via API

Scalable: Analyze 1 to 1,000,000+ tasks without compromising performance or accuracy.

Start free today: Get started today and experience the magic with no upfront investment!