Unsupervised Keyword Extraction
YAKE!
Yet Another Keyword Extractor
A light-weight unsupervised automatic keyword extraction method using text statistical features. No training required. Language-independent. Single-document processing.
25+
Languages
500+
Citations
8M+
Downloads
Open
Source
Why Choose YAKE?
Powerful features that make keyword extraction simple and effective
Unsupervised
No training required. Works out-of-the-box without the need for labeled data or external corpora.
Language Independent
Supports 25+ languages without language-specific configurations or dictionaries.
Single Document
Extracts keywords from individual documents. No corpus needed for comparison.
Quick Start
Get started with YAKE in seconds
Installation
Install via pip:
pip install git+https://github.com/INESCTEC/yakeBasic usage:
import yake
text = "Your text here..."
kw_extractor = yake.KeywordExtractor()
keywords = kw_extractor.extract_keywords(text)
for kw, score in keywords:
print(f"{kw}: {score:.4f}")