Yake

Yake

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
Yake image
keyword-extraction text-analysis nlp

Yake: Automatic Keyword Extraction Tool

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

  1. Extracts keywords from text using statistical analysis
  2. Supports texts in multiple languages
  3. Fast and lightweight implementation
  4. Domain-independent - works across different use cases
  5. Open source and free to use

Pricing

  • Open Source
  • Free

Pros

Simple and easy to use

Very fast keyword extraction

Does not require training data

Performs well without domain-specific tuning

Actively maintained and improved

Cons

Less accurate than supervised models

Not customizable for specific domains

May extract some irrelevant keywords


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