Sentiment Analysis Text Classification πŸ“ˆ avatar
Sentiment Analysis Text Classification πŸ“ˆ

Pricing

$9.90/month + usage

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Sentiment Analysis Text Classification πŸ“ˆ

Sentiment Analysis Text Classification πŸ“ˆ

Developed by

Storm_Scraper

Storm_Scraper

Maintained by Community

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. πŸ“Š Export the analyzed data, run the tool through an API, schedule automatic checks, or integrate with other toolsπŸ”„πŸ“ˆ

0.0 (0)

Pricing

$9.90/month + usage

1

Total users

10

Monthly users

7

Runs succeeded

83%

Last modified

6 months ago

You can access the Sentiment Analysis Text Classification πŸ“ˆ 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.

{
"mcpServers": {
"local-actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"scrapestorm/sentiment-analysis-text-classification"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

Configure MCP server with Sentiment Analysis Text Classification πŸ“ˆ

You can interact with the MCP server via standard input/output - stdio (as shown above), which is ideal for local integrations and command-line tools such as the Claude desktop client, or you can interact with the server through Server-Sent Events (SSE) to send messages and receive responses, which looks as follows:

{
"mcpServers": {
"remote-actors-mcp-server": {
"type": "sse",
"url": "https://mcp.apify.com/sse?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 supported 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.