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;

Algorithms

The full list of the algorithms in this library:

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

Upcoming algorithms:

• YAKE

Usage

Add the library to your Cargo.toml:

[dependencies]
keyword-extraction = "1.2.0"

Or use cargo add:

cargo add keyword-extraction

Features

It is possible to enable or disable features:

• "tf_idf": TF-IDF algorithm;
• "rake": RAKE algorithm;
• "text_rank": TextRank algorithm;
• "all": all algorithms;
• "parallel": parallelization of the algorithms with Rayon;

Default features: "tf_idf".

NOTE: "parallel" feature is only recommended for large documents, it exchanges memory for computation resourses.

License

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