In natural language processing, consistency is crucial for accurate analysis. Fix words like “can’t,” “won’t,” “it’s,” and “we’re” (they can wreak havoc on machine learning models) with the contractions library. Contractions provides an elegant solution to this problem, automatically expanding contracted forms into their full equivalents for cleaner, more consistent text analysis.

Raw text from the internet, social media, customer reviews, or scraped content often comes loaded with noise – HTML tags, emojis, URLs, special characters, and inconsistent formatting that can derail your analysis before it even begins. Enter clean-text: a specialized Python library designed to tackle these messy text challenges with surgical precision.