Map repeated-word density by paragraph

Show which globally repeated words dominate each blank-line-separated paragraph.

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ToolWord Frequency Heatmap
Input
Output
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Preview

How it works

Unicode letter, number, and apostrophe tokens are counted across the complete text, then each paragraph’s qualifying words inherit those global counts. Candidates sort by count, deduplicate by exact lowercase spelling, and stop at five terms per paragraph.

  • Four characters is the editable initial cutoff for reducing short function words.
  • No stop list, stemming, lemmatization, or language model changes the counts.

Worked example

Map repeated-word density by paragraph
Input
											Text: Clear writing uses clear examples.

Specific examples make technical writing easier to follow.
Minimum length: 4
Output
												Paragraph  Words  Dominant
---------  -----  -----------------------------------------------------------------------------------
1          5      [object Object], [object Object], [object Object], [object Object]
2          8      [object Object], [object Object], [object Object], [object Object], [object Object]

When to use this

Editors locate concentrated terminology, technical writers compare paragraph vocabulary, and local draft reviews expose accidental repetition.

Edge cases

  • Clear and clearer remain distinct because no stemming is performed.
  • A globally common term can rank highly in a paragraph where it appears only once.
  • Hyphens split tokens, while apostrophes stay inside them.