# `Text.WordCloud.Backends.RAKE`
[🔗](https://github.com/kipcole9/text/blob/v0.6.2/lib/word_cloud/backends/rake.ex#L1)

RAKE (Rapid Automatic Keyword Extraction) backend for `Text.WordCloud`.

RAKE is a classic, language-agnostic keyword extractor (Rose et al.,
2010). It splits the text on stopwords and punctuation to produce
candidate phrases, then scores each member word by the ratio of its
total degree (cumulative phrase length) to its raw frequency. A
phrase score is the sum of its member word scores.

Higher scores = more important. The result naturally surfaces multi-
word phrases, since phrases that consist exclusively of distinctive
content words score above the sum of their parts.

### Strengths

* No reference corpus.

* Phrase-aware by construction.

* Trivially multilingual via the stopword swap (uses `Text.Stopwords`
  for the resolved language).

### Caveats

* Quality is sensitive to stopword-list completeness — under-filtering
  produces bloated, low-quality phrases.

* Tends to over-rank phrases composed of low-frequency words; YAKE!
  is usually a better default.

### Options

Honours the orchestrator's `:language`, `:stopwords`, `:case_fold`,
and `:locale`. RAKE's candidates are determined by stopword
boundaries; `:ngram_range` is honoured as a post-filter on the
resulting phrase lengths.

---

*Consult [api-reference.md](api-reference.md) for complete listing*