sentiment-analysis

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Sentiment Analysis MCP Server

Overview

The Sentiment Analysis MCP Server provides a powerful tool for determining the sentiment of user comments, posts, or any given text. This service helps you identify whether a piece of text is positive, negative, or neutral, offering valuable insights into user feedback, social media posts, reviews, and more.

Features

Sentiment Analysis

• Determine Tone: Identify if a comment or post is positive, negative, or neutral.
• Interpreting Scores: Analyze sentiment scores to understand the positivity or negativity of the text. Scores below -0.05 are tagged as negative, above 0.05 as positive, and anything in-between as neutral.
• Customizable Interpretation: Use provided scores to set your own thresholds for what is considered positive or negative, allowing for tailored sentiment analysis suited to specific needs.
• Ratio Calculation: Assess the ratio of negative to positive words, providing deeper insight into the sentiment balance.

Limitations

• Max Input Size: 14,336 Unicode characters, including whitespace and markup characters.
• Rate Limitations: Generally unrestricted, but some tools have specific rate limits.
• Server Capacity: Initially handles 6 requests per second, with the ability to scale up to 300 requests per second. It's recommended to gradually increase request rates to avoid failures.

Security and Privacy

• Data Handling: No content is stored on the server; only transaction logs are maintained.
• Compliance: Adheres to strict security standards with annual PCI compliance checks.

Tools

Sentiment Analysis Group

• Analyze (GET/POST): Returns sentiment analysis results with scores for the given text.
  • Parameters:
    • text: Enter the text to analyze, with a maximum of 100 words or 1,500 characters.

This MCP server is designed to provide a robust and flexible solution for sentiment analysis, empowering you to gain meaningful insights from textual data.