Crash-Proof Pipeline
Automatic None/NaN input sanitation across all functions. Safely processes huge Pandas DataFrames without failing on dirty or null rows.
DataFrame Safe
Python Framework for NLP Cleaning
nlp-text-preprocessing
Documentation
A production-grade, modular Python library designed to streamline text cleaning, feature extraction, linguistic analysis, and validation. 100% crash-proof when running over Pandas DataFrames.
Installation Guide
Choose your operating system to see the recommended installation steps. We highly recommend using a virtual environment to prevent dependency conflicts.
Windows PowerShell
python -m venv venv
.\\venv\\Scripts\\activate
pip install nlp-text-preprocessing
Recommended for Windows PowerShell.
Key Features
Everything you need to build robust NLP preprocessing pipelines — from simple cleaning to advanced linguistic analysis.
Automation Engine
Chain cleaning steps by name or custom functions via Pipeline(['to_lower_case', 'remove_urls', 'lemmatize']) — no boilerplate needed.
Fast & Lazy Caching
Efficient lazy-loading for spaCy (en_core_web_sm) and cached NaiveBayes sentiment analyzers to save memory and reduce startup time.