📘 Introduction

This tool provides a simple and efficient way to extract unique acronyms from a text using natural language processing (NLP) technologies. It's particularly useful for professionals and students in fields like artificial intelligence, machine learning, and data analysis who need to quickly identify and understand acronyms in dense documents. For example, someone reading a technical paper can use this tool to get a list of all acronyms to ensure they understand the terminology being used.

🧑‍🏫 Step-by-step Instructions

Start with the Editor: The interface opens with an editor pre-loaded with a sample text about artificial intelligence. You can replace this text with any other text of your choice.
Edit Your Text: Directly type or paste the text from which you want to extract acronyms into the editor.
Automatic Processing: Once the text is in the editor, the system automatically processes the text to extract and list unique acronyms.
View Results: The extracted acronyms are displayed below the editor, each separated by a newline for clarity.
Utilize Additional Features: Make use of features like showStat to see statistics about the processing and showOutput to toggle the visibility of the output panel.

🚨 Common Issues and Solutions

Text Not Updating: Ensure that any changes to the text are being entered directly into the editor field. Refresh the page if updates are not reflected.
Acronyms Not Recognized: Some less common or highly specialized acronyms might not be recognized. Check for correct spelling or add the acronym manually if needed.

🌟 Additional Tips and Recommendations

Frequent Updates: Regularly update the text in the editor to reflect the most current document you are working with, as the tool does not save text between sessions.
Customization: You can customize the sample text based on typical documents you analyze to streamline the acronym extraction process in future uses.

📝 Conclusion

This tool simplifies the task of identifying acronyms in any text, saving time and enhancing comprehension of complex documents. It's a practical solution for anyone dealing with technical or specialized texts. Share this tool with colleagues or on social media to help others discover this useful resource.

For Developer

This tool is based on the compromise library, which is distributed under the MIT licence. If you are a developer, we suggest you to familiarize yourself with this great library.

npm install compromise