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Emotion Analyzer
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Emotion Analyzer

A JavaScript project based on the Bun runtime for handling emotion - related functions.
Artificial intelligence chatbotsResearch and data#Emotion analysis#Bun runtime#JavaScript Local.TypeScript
2 points
9

What is the MCP Emotion Server?

The MCP Emotion Server is an advanced AI tool used to analyze and recognize emotional states in text. It can help individuals and businesses quickly understand customer feedback, social media comments, and any text content that requires emotion analysis.

How to use the MCP Emotion Server?

Simply install the dependencies and run the server to start analyzing text data. The MCP Emotion Server provides an easy - to - use command - line interface, allowing you to easily perform sentiment analysis tasks.

Applicable scenarios

The MCP Emotion Server is suitable for fields such as customer service, market research, and public opinion monitoring. Whether analyzing social media comments or evaluating product feedback, it can provide valuable emotional insights.

Main features

Multilingual supportThe MCP Emotion Server supports sentiment analysis in multiple languages, including but not limited to English, Chinese, French, and Spanish.
Real - time analysisIt can process a large amount of text data in real - time and quickly generate sentiment analysis reports.
Visualized resultsIt provides intuitive chart displays to help users better understand the sentiment distribution.

Advantages and limitations

Advantages
Easy to use, no complex configuration required
Powerful multilingual sentiment analysis capabilities
Fast response, suitable for real - time applications
Limitations
May not be accurate enough for very professional terms
Limited analysis effect for extremely short texts

How to use

Install dependencies
Ensure that the Bun runtime environment is installed, then run `bun install` in the project directory to install the required dependencies.
Start the server
Run `bun run index.ts` to start the MCP Emotion Server.
Send an analysis request
Perform sentiment analysis by entering text or a file path through the command line.

Usage examples

Analyze a single piece of textUsers can directly enter text through the command line for sentiment analysis.
Analyze text in a fileStore multiple texts in a file and submit them to the MCP Emotion Server in batches.

Frequently Asked Questions

How to install the Bun runtime environment?
Which languages does the MCP Emotion Server support?
What should I do if I encounter an analysis error?

Related resources

Official documentation of the MCP Emotion Server
Detailed user manual and technical support.
GitHub code repository
Source code and contribution guidelines.
Demo video
Watch how to quickly get started with the MCP Emotion Server.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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