Turkish Sentiment Analysis

CP-Turkish-Sentiment-analysis is a curated collection of datasets, data preprocessing tools, model implementations, and Jupyter notebooks for training, evaluating, and deploying sentiment analysis models on Turkish text

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GitHub Stars

python

Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

You can access Turkish sentiment analysis through a remote Gradio API using an MCP server. This setup lets you integrate the sentiment model as a reusable endpoint in your MCP client workflow, enabling you to query the model without hosting it locally and to route requests through a standardized MCP interface.

How to use

To use this MCP server, point your MCP client at the remote Gradio API endpoint provided. Your client will send requests to the remote URL and receive sentiment analysis results in return. This enables you to incorporate Turkish sentiment analysis into your apps, dashboards, or automation pipelines without managing the underlying model hosting.

How to install

{
  "mcpServers": {
    "turkish_sentiment_gradio": {
      "command": "http",
      "type": "http",
      "name": "turkish_sentiment_gradio",
      "url": "https://emredeveloper-mcp-turkish-sentiment.hf.space/gradio_api/mcp/sse",
      "args": []
    }
  }
}

Additional sections

Security and access: This MCP endpoint is a remote Gradio API. Ensure your MCP client enforces appropriate authentication if needed and follows your organization’s data handling policies when sending Turkish text data to the remote service.

Performance notes: Remote APIs may introduce latency based on network conditions. If you require batch processing, your MCP client can aggregate inputs before sending them to the endpoint to optimize throughput.

Troubleshooting tips: If you receive errors, verify the URL is reachable from your network, confirm your MCP client is configured to use the HTTP MCP entry, and check for any authentication requirements on the remote API. If the remote API changes its path, update the URL in your MCP configuration accordingly.