Struct jieba_rs::TextRank

pub struct TextRank { /* private fields */ }

Text rank keywords extraction.

Requires textrank feature to be enabled.

Implementations

impl TextRank

pub fn new(span: usize, config: KeywordExtractConfig) -> Self

Creates an TextRank.

Examples

New instance with custom stop words. Also uses hmm for unknown words during segmentation.

   use std::collections::BTreeSet;
   use jieba_rs::{TextRank, KeywordExtractConfig};

   let stop_words : BTreeSet<String> =
       BTreeSet::from(["a", "the", "of"].map(|s| s.to_string()));
   TextRank::new(
       5,
       KeywordExtractConfig::default());

Trait Implementations

impl Debug for TextRank

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for TextRank

fn default() -> Self

Creates TextRank with 5 Unicode Scalar Value spans

impl KeywordExtract for TextRank

fn extract_keywords( &self, jieba: &Jieba, sentence: &str, top_k: usize, allowed_pos: Vec<String> ) -> Vec<Keyword>

Uses TextRank algorithm to extract the top_k keywords from sentence.

If allowed_pos is not empty, then only terms matching those parts if speech are considered.

Examples

   use jieba_rs::{Jieba, KeywordExtract, TextRank};

   let jieba = Jieba::new();
   let keyword_extractor = TextRank::default();
   let mut top_k = keyword_extractor.extract_keywords(
       &jieba,
       "此外，公司拟对全资子公司吉林欧亚置业有限公司增资4.3亿元，增资后，吉林欧亚置业注册资本由7000万元增加到5亿元。吉林欧亚置业主要经营范围为房地产开发及百货零售等业务。目前在建吉林欧亚城市商业综合体项目。2013年，实现营业收入0万元，实现净利润-139.13万元。",
       6,
       vec![String::from("ns"), String::from("n"), String::from("vn"), String::from("v")],
   );
   assert_eq!(
       top_k.iter().map(|x| &x.keyword).collect::<Vec<&String>>(),
       vec!["吉林", "欧亚", "置业", "实现", "收入", "子公司"]
   );

   top_k = keyword_extractor.extract_keywords(
       &jieba,
       "It is nice weather in New York City. and今天纽约的天气真好啊，and京华大酒店的张尧经理吃了一只北京烤鸭。and后天纽约的天气不好，and昨天纽约的天气也不好，and北京烤鸭真好吃",
       3,
       vec![],
   );
   assert_eq!(
       top_k.iter().map(|x| &x.keyword).collect::<Vec<&String>>(),
       vec!["纽约", "天气", "不好"]
   );