Sentiment Analysis Text Classification 📈
Pricing
$9.90/month + usage
Sentiment Analysis Text Classification 📈
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
1
Total users
14
Monthly users
5
Runs succeeded
90%
Issues response
2 hours
Last modified
20 days ago
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.
{ "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/sse?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.comviamcp-remotefrom 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/sse?actors=scrapestorm/sentiment-analysis-text-classificationalong with an API token (or use OAuth).Connect to
mcp.apify.comvia Server-Sent Events (SSE), as shown below:
{ "mcpServers": { "apify": { "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 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.
