Sentiment Analysis Online Tool
Pricing
Pay per usage
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.
4.5 (2)
Pricing
Pay per usage
5
Total users
63
Monthly users
14
Runs succeeded
>99%
Last modified
8 months ago
You can access the Sentiment Analysis Online Tool 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.
$# Start Server-Sent Events (SSE) session and keep it running<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=tri_angle/sentiment-analysis-online-tool"
# Session id example output:# event: endpoint# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing 🪶 Sentiment Analysis Online Tool via Model Context Protocol (MCP) server
MCP server lets you use 🪶 Sentiment Analysis Online Tool within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the 🪶 Sentiment Analysis Online Tool Actor with the provided input.
$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{$ "jsonrpc": "2.0",$ "id": 1,$ "method": "tools/call",$ "params": {$ "arguments": {$ "texts": [$ "I like turtles",$ "I am ok",$ "The weather is awful!"$ ]$},$ "name": "tri_angle/sentiment-analysis-online-tool"$ }$}'The response should be: Accepted. You should received response via SSE (JSON) as:
$event: message$data: {$ "result": {$ "content": [$ {$ "type": "text",$ "text": "ACTOR_RESPONSE"$ }$ ]$ }$}Configure local MCP Server via standard input/output for 🪶 Sentiment Analysis Online Tool
You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:
{ "mcpServers": { "actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "tri_angle/sentiment-analysis-online-tool" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.
To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.
