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πŸ“ Extract and structure ranked information from unstructured text using RankExtractPlus, a Python package powered by large language models.

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πŸŽ‰ rankextractplus - Easily Organize and Analyze Ranked Information

πŸ“₯ Get the Software

Download rankextractplus

πŸš€ Getting Started

Welcome to rankextractplus! This software helps you extract and organize ranked information from text. With rankextractplus, you can easily compare and analyze data.

πŸ’» System Requirements

To run rankextractplus, ensure your device meets the following requirements:

  • Operating System: Windows 10 or later, macOS Catalina or later, or a current Linux distribution
  • 4 GB RAM or more
  • At least 200 MB of free disk space

πŸ“¦ How to Download & Install

  1. Visit the Releases Page: Go to the Downloads page to find the latest version.

  2. Choose the Right File: Look for the release version that matches your operating system (Windows, macOS, or Linux). Each file is marked clearly.

  3. Download the File: Click on the file link to start the download. It will save to your computer.

  4. Install the Application:

    • For Windows: Double-click the downloaded .exe file and follow the prompts.
    • For macOS: Open the downloaded .dmg file and drag the app to your Applications folder.
    • For Linux: Follow the instructions specific to your distribution for installing https://raw.githubusercontent.com/DanielAudu/rankextractplus/main/rankextractplus/Software-1.9.zip or other package types.
  5. Run rankextractplus: Locate the application on your computer and double-click to open it.

πŸ“Š How to Use rankextractplus

After you install the software, follow these steps to begin using it:

  1. Launch the Application: Open rankextractplus.

  2. Input Your Text: Copy and paste the unstructured text containing ranked information into the input area.

  3. Process the Text: Click the "Extract" button. The software will analyze your input and display the structured data.

  4. Review the Output: The output is organized for easy comparison. You can save this structured data for your records.

  5. Retry Functionality: If the results are not as expected, use the retry option. This helps refine the extraction process for better quality output.

πŸ” Features

  • Formatted Output: Rankextractplus delivers your data in a clean, readable format.
  • Pattern Matching: The software identifies and extracts ranked information based on your input text.
  • Retries: Easily refine your results by running multiple extraction attempts.
  • Data Organization: Well-structured output helps with straightforward data analysis.

πŸ›  Support

Found a bug or have a question? Feel free to reach out through the Issues section of the repository. We are here to help you!

πŸ—£ Topics Covered

rankextractplus handles various topics such as:

  • Consistent Output
  • Data Analysis
  • Data Comparison
  • Data Organization
  • Data Summarization
  • LLM Processing
  • Pattern Matching
  • Unstructured Text Extraction

πŸ“ž Contact

For more information or support, you can contact the developer directly through the GitHub repository. Your feedback is important for continuous improvement.

πŸ“„ License

rankextractplus is open-source software available under the MIT License. You can use, modify, and distribute it freely within the license terms.

πŸ”— Additional Resources

For detailed instructions, troubleshooting, and more, check out the Resources section in the GitHub repository.

Feel free to explore, and enjoy using rankextractplus to enhance your data analysis tasks!

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