Yake is an open-source automatic keyword extraction tool. It automatically extracts keywords from texts by selecting the most relevant words based on statistical and linguistic analysis. Yake is fast, lightweight and domain-independent, allowing it to work well across different u
Open-source tool for extracting keywords from texts with statistical and linguistic analysis, suitable for various use cases
What is Yake?
Yake is an open-source, lightweight automatic keyword extraction Python library and command-line tool. It allows for unsupervised keyword extraction from single documents by selecting the most relevant keywords based on statistical analysis and linguistic information about the input text.
Some of the key features and benefits of Yake include:
Completely unsupervised approach - does not require any human annotated datasets for training
Fast extraction - suitable for real-time applications
Domain and language independent - works well on texts from different domains and languages
Handles short, long, single and multi-documents for keyword extraction
Offers flexible keyword filtering and scoring options
Easy to use with simple Python API and command-line interface
Yake is ideal for various natural language processing tasks like automatic tagging, document categorization, clustering, summarization and more. Its speed and domain-independence allows it to be easily integrated into different applications and systems.
Yake Features
Features
Extracts keywords from text using statistical analysis
Supports texts in multiple languages
Fast and lightweight implementation
Domain-independent - works across different use cases
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