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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

⚙️ Features

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

🧠 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.

🚀 Usage

python acronymizer.py