Text Acronymizer Module

A lightweight Python module for converting named entities and capitalized phrases into acronyms using natural language processing and regular expressions.

📌 Purpose

This tool helps standardize and compress text by replacing proper names and formal phrases with acronyms. It's useful for:

• Text summarization
• Preprocessing for NLP tasks
• Creating anonymized or encoded corpora

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⚙️ Features

• Named Entity Recognition via spaCy
• Regex-based detection of capitalized phrases
• Chainable transformations (NER → Capital Phrases)
• Simple integration with file processing

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🧠 How It Works

1. Detect named entities like Barack Obama or New York.
2. Convert them into acronyms: BO, NY.
3. Detect multi-word capitalized phrases: Artificial Intelligence System → AIS.
4. Output the transformed text.

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🚀 Usage

python acronymizer.py