textcleaner-partha 0.1.0

A lightweight text preprocessing package for NLP tasks.

🧹 textcleaner

A lightweight and reusable text preprocessing package for NLP tasks. It cleans text by removing HTML tags and emojis, expanding contractions, correcting spelling, and performing lemmatization using spaCy.

✨ Features

•	✅ HTML tag and emoji removal
•	✅ Contraction expansion (e.g., “can’t” → “cannot”)
•	✅ Spelling correction with autocorrect
•	✅ Lemmatization using spaCy (en_core_web_sm)
•	✅ Filters out stopwords, punctuation, numbers
•	✅ Retains only nouns, verbs, adjectives, and adverbs

🚀 Installation

Install directly from GitHub:

pip install git+https://github.com/partha6369/textcleaner.git

🧠 Usage

from textcleaner import preprocess

text = "I can't believe it's already raining! 😞 <p>Click here</p>"
cleaned = preprocess(text)
print(cleaned)

📦 Dependencies

•	spacy
•	autocorrect
•	contractions

You can install them manually or via the included requirements.txt:

pip install -r requirements.txt

And download the required spaCy model:

python -m spacy download en_core_web_sm

📄 License

MIT License © Partha Majumdar