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RakeOptions

What Rake is built with.

public sealed record RakeOptions

Properties — StopWords (default null, which takes StopWords.English) is the collection that delimits candidates; nothing is downloaded, so a caller who wants rake-nltk's own list supplies it. Metric (default RakeMetric.DegreeToFrequencyRatio) is which per-word score Rake.Extract sums into a phrase score — see RakeMetric. MinLength (default 1) and MaxLength (default 100_000) bound a candidate's length in words, inclusive. IncludeRepeatedPhrases (default true) — false reports a repeated candidate once, and removes the duplicate before the degree and frequency tables are built, so it changes scores and not only the output. TokenPattern (default \b\w+\b) is what counts as a word; note the single \w+ rather than the vectorizers' \b\w\w+\b — a one-letter word neighbours a run boundary here rather than being filtered out, and dropping it would merge two candidates into one.

Example — turning off repeats on a document that has one.

using Lodestar.Text.Keywords;

var rake = new Rake(new RakeOptions { IncludeRepeatedPhrases = false });
var hits = rake.Extract("linear constraints and linear constraints");

int count = hits.Count;        // => 1
string phrase = hits[0].Phrase;  // => linear constraints

Remarks — every default here is the paper's, with two exceptions: rake-nltk downloads its stop-word list from the nltk corpus at run time and this does not, and TokenPattern's \b\w+\b is not rake-nltk's own default tokenizer either — it is what the oracle generator injects into rake-nltk's word_tokenizer so the two sides can be compared at all. A caller who wants exact parity with a specific rake-nltk run supplies that run's own list and tokenizer through StopWords and TokenPattern (decision 0077).

Rake's constructor validates two of these fields eagerly: a MinLength below 1 or a MaxLength below MinLength throws at construction, before any document is read.

Applies to — net10.0, netstandard2.0.

See also — Rake, RakeMetric, KeywordMatch, the Python equivalence table.