Struct TfIdfKeywordExtractor 

pub struct TfIdfKeywordExtractor { /* private fields */ }

Extracts keywords by splitting the text into pseudo-documents (sentences) and computing per-term TF-IDF scores, then averaging across sentences.

Implementations

impl TfIdfKeywordExtractor

pub fn new() -> Self

Create a new TF-IDF keyword extractor with default settings.

pub fn with_min_token_len(self, len: usize) -> Self

Set the minimum token length (tokens shorter than this are ignored).

pub fn extract(&self, text: &str, top_k: usize) -> Result<Vec<Keyword>>

Extract top_k keywords from text.

Trait Implementations

impl Default for TfIdfKeywordExtractor

fn default() -> Self

Returns the “default value” for a type.