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Libraries","库","NLP"],"sub_categories":["Text processing","文本处理 Text processing","文本处理"],"readme":"# RAKE.rs\n\n[![crates.io](https://img.shields.io/crates/v/rake.svg)](https://crates.io/crates/rake) [![Documentation](https://img.shields.io/badge/Docs-rake-blue.svg)](https://docs.rs/rake) ![Crates.io](https://img.shields.io/crates/l/rustc-serialize.svg) [![Test](https://github.com/yaa110/rake-rs/actions/workflows/test.yml/badge.svg)](https://github.com/yaa110/rake-rs/actions/workflows/test.yml)\n\nThe library provides a multilingual implementation of [Rapid Automatic Keyword Extraction (RAKE)](http://onlinelibrary.wiley.com/doi/10.1002/9780470689646.ch1/summary) algorithm for Rust.\n\n## How to Use\n\n- Append `rake` to `dependencies` of `Cargo.toml`:\n\n```toml\nrake = \"0.3\"\n```\n\n- Import modules:\n\n```rust\nuse rake::*;\n```\n\n- Create a new instance of `Rake` struct:\n\n```rust\nlet text = \"a long text\";\nlet sw = StopWords::from_file(\"path/to/stop_words_list.txt\").unwrap();\nlet r = Rake::new(sw);\nlet keywords = r.run(text);\n```\n\n- Iterate over keywords:\n\n```rust\nkeywords.iter().for_each(\n    |\u0026KeywordScore {\n        ref keyword,\n        ref score,\n    }| println!(\"{}: {}\", keyword, score),\n);\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyaa110%2Frake-rs","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyaa110%2Frake-rs","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyaa110%2Frake-rs/lists"}