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Keywords From Paragraph

Analyse a single paragraph for its key terms and phrases.

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What the Keywords From Paragraph does

Keywords From Paragraph is tuned for short input: it lowers the repetition threshold so phrases appearing only once still surface, which matters when you only have a few sentences.

How it works

Word frequency and two-word phrase extraction run with a minimum count of one, and the paragraph's sentence count is reported so you can judge how much signal there was.

  1. 1Paste a single paragraph — an intro, a product blurb or a caption.
  2. 2Choose how many terms to return.
  3. 3Generate the analysis.
  4. 4Use notable phrases as tag candidates.
  5. 5Repeat for each paragraph of a long piece.

Worked example

A product paragraph about a travel mug surfaces 'travel', 'insulated', 'coffee' plus the phrase 'travel mug'.

Who uses it

  • Tagging short product descriptions
  • Extracting terms from an intro paragraph
  • Checking a paragraph stays on topic
  • Preparing per-section tags for a long article

Best practices

  • Run paragraph by paragraph rather than pasting a whole article.
  • Compare key terms against the section heading.
  • Ignore terms that appear once and add no meaning.
  • Convert survivors with the Keyword to Hashtag Converter.

Honest limitations

Short text means weak statistics — a single mention can top the list. Treat output as candidates rather than conclusions.

Frequently asked questions

How is this different from Keywords From Text?
It accepts single-occurrence phrases, which suits short input.
Why show sentence count?
It tells you how much text the analysis had to work with.
Can I paste multiple paragraphs?
You can, but Keywords From Text is better tuned for that.

Related tools

Keywords From TextExtract both single keywords and repeated phrases from pasted text.Keyword ExtractorPull the most frequent meaningful words out of any text.Content Tag ExtractorAnalyse any pasted content and extract keywords, phrases and hashtag candidates.Keyword Frequency AnalyzerCount how often each word and phrase appears in your text.