virajchoudhary-nlp 0.0.3

A personal toolkit for NLP lab coursework.

Viraj Choudhary's NLP Toolkit

Personal Python package developed for my university Natural Language Processing lab assignments. It includes simple, reusable functions for:

• Text preprocessing
• Corpus analysis
• Feature engineering

I originally built this toolkit to support my coursework, but I may extend it for other use cases over time. Who knows, it could even evolve into a major project. Big things start small.

More functions and modules will be added.

Installation

1. Install the package:

   pip install virajchoudhary-nlp
   

2. Import and use the functions in your code:

   from virajchoudhary_nlp import preprocessing as pp
   
   raw_text = "This is a 123 test sentence for my NLP toolkit!"
   
   # lowercase
   lower_text = pp.to_lowercase(raw_text)
   print(f"Lowercase Text: {lower_text}")
   
   # Tokenize
   tokens = pp.tokenize_words(lower_text)
   print(f"Tokens: {tokens}")
   

   Example Output:

   Lowercase Text: this is a 123 test sentence for my nlp toolkit!
   Tokens: ['this', 'is', 'a', '123', 'test', 'sentence', 'for', 'my', 'nlp', 'toolkit', '!']
   

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For more details, you can find the project on PyPI.