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Performed Part-of-Speech (POS) tagging using NLTK to label words with their grammatical roles in text data. Useful for NLP preprocessing and syntactic analysis.

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Part-of-Speech (POS) Tagging with NLTK

This project demonstrates POS tagging using the NLTK library in Python. POS tagging is a fundamental task in Natural Language Processing used to identify the grammatical structure of sentences.

πŸš€ Features

  • Tokenization of raw text
  • POS tagging using NLTK's built-in tagger
  • Visualization of POS distributions
  • Analysis of noun, verb, and adjective usage

πŸ› οΈ Technologies Used

  • Python
  • NLTK
  • Matplotlib / Seaborn
  • Jupyter Notebook

πŸ“‚ Project Structure

  • pos_tagging.ipynb: Jupyter Notebook with full implementation
  • data/: Sample text files used for tagging

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Performed Part-of-Speech (POS) tagging using NLTK to label words with their grammatical roles in text data. Useful for NLP preprocessing and syntactic analysis.

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