Sentiment Analysis

Overview

Sentiment Analysis works by analyzing the text and comparing it to a large database of sentiment analysis models. It uses advanced algorithms to analyze the sentiment of the text and returns the sentiment score and the sentiment label.

Live Test Sentiment Analysis API →

Endpoint

One host, one path per API. The block below shows this call in four languages; every one of them is the same HTTP request. Making requests covers the timeouts, retries and parameter rules that apply to all of them. The SDKs wrap the same call in a typed client.

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curl -X POST https://api.apiverve.com/v1/sentimentanalysis \
  -H "x-api-key: your_api_key_here" \
  -H "Content-Type: application/json" \
  -d '{
  "text": "I'm so excited that tomorrow is going to be sunny! Can't wait!"
}'

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const res = await fetch('https://api.apiverve.com/v1/sentimentanalysis', {
  method: 'POST',
  headers: {
    'x-api-key': 'your_api_key_here',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
  "text": "I'm so excited that tomorrow is going to be sunny! Can't wait!"
}),
});

if (!res.ok) throw new Error(`${res.status} ${await res.text()}`);

const { data } = await res.json();
console.log(data);

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import requests

res = requests.post(
    "https://api.apiverve.com/v1/sentimentanalysis",
    headers={"x-api-key": "your_api_key_here"},
    json={
    "text": "I'm so excited that tomorrow is going to be sunny! Can't wait!"
},
    timeout=15,
)
res.raise_for_status()

print(res.json()["data"])

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package main

import (
	"fmt"
	"io"
	"net/http"
	"strings"
)

func main() {
	body := strings.NewReader(`{
  "text": "I'm so excited that tomorrow is going to be sunny! Can't wait!"
}`)
	req, _ := http.NewRequest("POST", "https://api.apiverve.com/v1/sentimentanalysis", body)
	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("x-api-key", "your_api_key_here")

	res, err := http.DefaultClient.Do(req)
	if err != nil {
		panic(err)
	}
	defer res.Body.Close()

	out, _ := io.ReadAll(res.Body)
	fmt.Println(string(out))
}

Replace your_api_key_here with the key from your dashboard. When the inputs arrive as a list rather than one at a time, batch requests run up to 200 of them through this same API in a single call.

Authentication

Send your key in the x-api-key header. That is the only auth step — there is no token exchange and no per-endpoint scope to configure. Authentication covers creating, rotating and revoking keys.

Parameters

Sent as JSON in the request body. Premium parameters are accepted on every plan but only take effect on plans that include them.

Response

Every API returns the same three top-level keys, so one response handler covers your whole integration: status, error and data. Only data changes shape. Response format covers the envelope, the other output formats and how premium fields are withheld.

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{
  "status": "ok",
  "error": null,
  "data": {
    "comparative": 0.25,
    "sentimentText": "positive",
    "sentiment": 3,
    "isPositive": true,
    "isNegative": false,
    "normalizedScore": 0.3
  }
}

Response fields

Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.

Errors

Read the HTTP status first, then error for the specific reason. The body names the parameter that has to change. Error handling covers the full status list and which of them are worth retrying.

Start from a template

A working app built on this API, ready to deploy with your own key. Vercel asks for the key when you deploy; the code is on GitHub to change first.

Sentiment Dashboard

Score reviews, tickets and messages as positive, negative or neutral, with a running chart and history.

• React
• Vite
• Chart.js

Deploy to VercelSee the template →

Use cases

Support Ticket Escalation

Route angry customer messages to senior support reps immediately when the sentiment score drops to very negative.

Review Stream Filtering

Product managers categorize incoming app store feedback into positive praise and negative complaints using the five-tier sentiment label.

Public Mention Tracking

When tracking brand tags on social networks, marketing teams flag sudden spikes in negative valence scores to address PR issues early.

Survey Response Sorting

Sort open-ended employee survey responses automatically by comparative sentiment to isolate recurring workplace grievances without manual reading.

Other ways to use Sentiment Analysis

Set up Sentiment Analysis on APIVerve, or reach the same source a different way. Your APIVerve account and credits work on all of them — one key, one balance.

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