Rust Keyword Extraction

Introduction

This is a simple NLP library with a list of algorithms related to keyword extraction:

• Tokenizer for tokenizing text;
• TF-IDF for calculating the importance of a word in one or more documents;
• Co-occurrence for calculating relationships between words within a specific window size;
• RAKE for extracting key phrases from a document;
• TextRank for extracting keywords and key phrases from a document;

Features

The full list of intended features before publishing this library on crates.io is as follows:

• Helper modules:
  • Tokenizer
  • Co-occurrence
• Keyword extraction algorithms:
  • TF-IDF
  • RAKE
  • TextRank

Note: I removed yake as my implementation was very slow. I will try to implement it again in the future.

Usage

Add this to your Cargo.toml:

[dependencies]
keyword-extraction = "1.1.0"

Or use cargo add:

$ cargo add keyword-extraction

License

This project is licensed under the GNU Lesser General Public License v3.0. See the Copying and Copying Lesser files for details.