Sentiment Analysis API

What does the Sentiment Analysis API do?

The Sentiment & Mood Analyzer API evaluates short and long-form text to surface positive, negative, and neutral signals alongside mood-oriented attributes. Use it to prioritize support queues, rank user-generated content, or enrich analytics pipelines without training custom NLP models. Responses are JSON-based and designed for straightforward integration in Node.js, Python, or any HTTP client. A free tier is available on RapidAPI so you can prototype before scaling to production traffic.

Use cases

• Customer support triage based on message tone
• Review and feedback aggregation for e-commerce dashboards
• Social listening workflows with multilingual posts
• Content moderation pre-screening before human review

Code examples

Replace endpoint paths and hosts with the values shown in your RapidAPI subscription dashboard.

cURL

curl -X GET "https://sentiment-mood-analyzer-api2.p.rapidapi.com/analyze" \
  -H "X-RapidAPI-Key: YOUR_RAPIDAPI_KEY" \
  -H "X-RapidAPI-Host: sentiment-mood-analyzer-api2.p.rapidapi.com"

Node.js (fetch)

const response = await fetch("https://sentiment-mood-analyzer-api2.p.rapidapi.com/analyze", {
  headers: {
    "X-RapidAPI-Key": process.env.RAPIDAPI_KEY,
    "X-RapidAPI-Host": "sentiment-mood-analyzer-api2.p.rapidapi.com"
  }
});

const data = await response.json();
console.log(data);

Python (requests)

import requests

response = requests.get(
    "https://sentiment-mood-analyzer-api2.p.rapidapi.com/analyze",
    headers={
        "X-RapidAPI-Key": "YOUR_RAPIDAPI_KEY",
        "X-RapidAPI-Host": "sentiment-mood-analyzer-api2.p.rapidapi.com",
    },
)
print(response.json())

Response schema

{
  "sentiment": "positive",
  "score": 0.82,
  "mood": "enthusiastic",
  "language": "en"
}

Pricing

Visit RapidAPI for live pricing, rate limits, and plan comparison.

FAQ