Pricing

$9.99/month + usage

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Text Sentiment Analysis

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Developed by

EasyApi

Analyze the sentiment of your text, submit single or multiple lines of text and receive a detailed report, including the number of lines analyzed and the breakdown of sentiments (positive, negative, neutral). Gain insights into the emotional tone of your content effortlessly!

0.0 (0)

Pricing

$9.99/month + usage

Total users

Monthly users

Runs succeeded

>99%

Last modified

8 months ago

Developer tools

Integrations

You can access the Text Sentiment Analysis programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("easyapi/text-sentiment-analysis").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Text Sentiment Analysis API in Python

The Apify API client for Python is the official library that allows you to use Text Sentiment Analysis API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Text Sentiment Analysis API in JavaScript

Text Sentiment Analysis API through CLI

Text Sentiment Analysis OpenAPI definition

Text Sentiment Analysis API

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