Pricing

$9.90/month + usage

Go to Apify Store

Sentiment Analysis Text Classification 📈

Try for free

Developed by

Storm_Scraper

Paste your text to receive a sentiment analysis evaluation using an AI-powered tool. 🌟 Get the sentiment score and the classification (positive, negative, neutral) for each phrase. 📊 Export the analyzed data, run the tool through an API, schedule automatic checks, or integrate with other tools🔄📈

0.0 (0)

Pricing

$9.90/month + usage

Issues response

2 hours

Last modified

a month ago

Automation

Developer tools

You can access the Sentiment Analysis Text Classification 📈 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

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?actors=scrapestorm/sentiment-analysis-text-classification",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Sentiment Analysis Text Classification 📈

You have a few options for interacting with the MCP server:

Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).
Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/?actors=scrapestorm/sentiment-analysis-text-classification along with an API token (or use OAuth).
Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
    "mcpServers": {
        "apify": {
            "type": "sse",
            "url": "https://mcp.apify.com/?actors=scrapestorm/sentiment-analysis-text-classification",
            "headers": {
                "Authorization": "Bearer <YOUR_API_TOKEN>"
            }
        }
    }
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

Sentiment Analysis Online Tool

tri_angle/sentiment-analysis-online-tool

Type in or paste text to get sentiment analysis evaluation using a tool with built-in AI model. Get the sentiment score (0 to 1) and classification (positive, negative, neutral) for each phrase. Export analyzed data, run this tool via API, schedule ad monitor runs or integrate with other tools.

Tri⟁angle

4.7

Text Sentiment Analysis

easyapi/text-sentiment-analysis

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!

EasyApi

Social Media Sentiment Analysis Tool

tri_angle/social-media-sentiment-analysis-tool

Add a profile name and find this social profile on Facebook, Instagram, and TikTok, scrape its recent posts and comments, and perform sentiment analysis for each comment. All in one go. Export results in JSON, CSV, HTML, use API, schedule runs, integrate with other tools.

Tri⟁angle

1.1K

4.3

Comments Analyzer Agent

apify/comments-analyzer-agent

Prevent PR disasters with AI sentiment analysis. Monitor comments across TikTok, YouTube, and Instagram to detect negative sentiment, toxic content, and potential crises before they escalate. Automate your workflow and send a message when something needs your immediate attention.

Apify

5.0

Facebook Comments Scraper

datavoyantlab/facebook-comments-scraper

Extract Facebook comments from any post, page, or group. Download hundreds of comments with user data and engagement metrics in JSON, CSV, or Excel format.

DataVoyantLab

259

Facebook Comments Scraper : Webhook Support

devninja/facebook-comments-scraper-webhook-support

This Apify actor is designed for businesses, teams, and individuals—supporting video URLs, post URLs, photo URLs, and reels—without the hassle of manual scraping or complex setups, making it perfect for analyzing conversations, monitoring engagement, and gathering insights from Facebook.

Devinja

5.0

Facebook comment scraper

curious_coder/facebook-comment-scraper

Scrape comments from facebook posts from a user, page, group member etc.

Curious Coder

714

4.8

Facebook Comments Scraper

donjuan_mime/facebook-comments-scraper

Facebook Comments Scraper is a tool designed to efficiently extract comments from Facebook posts. Built for the Apify platform and powered by Playwright, this scraper automates the comment collection process.

Donjuan

AI Document Assistant

devninja/ai-document-assistant

This actor analyzes uploaded documents using AI to extract and process information. It helps businesses quickly get answers from their documents and automate decision-making.

Devinja

5.0

Facebook Comments Scraper (All-in-One) Fast & cheap 💬⭐

scrapestorm/facebook-comments-scraper-all-in-one-fast-cheap

Collect comments from public Facebook posts effortlessly with this powerful tool! Automate the extraction of author info, comments, and timestamps ⏰. Scrape not only post comments but also comments from images and videos 🎥📸. Ideal for social media analysis and data insights 📊!