Keyword Stemming Tool
Paste keywords or text and reduce every word to its stem using the classic Porter stemming algorithm — useful for keyword clustering and matching. Runs entirely in your browser.
Instructions
- Enter your text — paste or type the text you want to stem into the input box above.
- Click "Stem Text" — hit the button to process your input.
- View the results — the stemmed text appears in the output box, and "Copy" puts it on your clipboard.
Everything runs in your browser. Your text is never uploaded to a server.
What is Keyword Stemming?
Keyword stemming is the process of reducing a word to its root form by abbreviating or removing suffixes that slightly change the word but not its meaning. This is often used in search engines and natural language processing to improve the accuracy and relevancy of search results by understanding the core meaning of different word variations.
This tool uses the Porter Stemming Algorithm to reduce words to their root forms by removing common suffixes.
Keyword Stemming Examples
Below is a table showing examples of words before and after stemming to demonstrate how the stemming algorithm works:
| Original Word | Stemmed Word |
|---|---|
| running | run |
| jumps | jump |
| easily | easi |
| connected | connect |
| better | better |
| cars | car |
| happiness | happi |
| national | nation |
| relational | relat |
| congratulations | congratul |
| probability | probabl |
| friendliness | friendli |
| happier | happier |
| quickly | quick |
| beautifully | beautifulli |
A stem is not always a real word — easily stems to easi and happiness to happi. That is expected: the stem is a normalized token used for matching, not a dictionary entry. What matters is that every variation of a word reduces to the same token, so running, runs, and ran-adjacent forms can be grouped together. Note too that the algorithm is conservative — better and happier come back unchanged, because Porter strips suffixes rather than resolving irregular comparatives.
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