How to Add Sentiment Analysis to Your App in 5 Minutes (Free API)

Every app that handles user-generated content eventually needs text analysis: customer reviews need sentiment scoring, blog platforms need readability checks, chat apps need toxicity filtering. Support tickets need classification. There seems like there's lots of need for these tools. So I built the Smart Text Toolkit, a single API with 14 text analysis endpoints. One subscription, one integration, and you've got sentiment analysis, readability scoring, summarization, keyword extraction, toxicity detection, PII redaction, and more. In this tutorial, I'll show you how to integrate sentiment analysis into your app in under 5 minutes. Then I'll walk through the other endpoints so you can see what's available. Output example When you call the sentiment analysis endpoint and get back structured data like this: { "sentiment" : { "label" : "positive" , "score" : 0.92 , "scores" : { "positive" : 0.92 , "negative" : 0.03 , "neutral" : 0.05 } }, "processing_time_ms" : 85 } Step 1: Get Your API K