konlpy

Why we included this project

KoNLPy is the Python library most Korean text work ends up using, since it wraps several mature Java-based analyzers (Hannanum, Kkma, Komoran, and the Mecab-ko binding) behind one consistent API. That means you can swap taggers without touching the rest of your code. Beyond tokenization and part-of-speech tagging it also does noun extraction, sentence segmentation, and a few text normalization helpers, which covers the basics for search indexing, sentiment analysis, or topic modeling on Korean corpora. The project has been around long enough that its docs walk newcomers through installation, and that matters because getting the Java dependencies configured is the fiddliest part. If you work with Korean text in Python, this is the library the ecosystem assumes you already have.