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Stop Word Remover
Strip filler words so the meaningful terms stand out.
Stop words found
None.
Quick Tool Overview
The Stop Word Remover strips the common function words — the, of, and, is, in — that make up roughly a third of any English text and carry almost no meaning on their own. Three built-in lists cover the usual cases, and the list is fully editable because stop words are genuinely domain-specific.
- What it does
- Removes common filler words from a text
- You give it
- An article, a query set or any corpus
- You get back
- The meaningful terms, with a reduction figure
- Best for
- Keyword extraction, topic modelling and search indexing
About the Stop Word Remover
Stop words are the words a language needs but a search index does not: the, of, and, is, in. They make up roughly a third of any English text and carry almost no meaning on their own, which is why removing them is the standard first step in keyword extraction, text classification and search indexing.
Three built-in lists are provided. The short list removes only the most common function words and is safe for keyword research. The standard list is the conventional English stop word set used by most search libraries. The aggressive list adds auxiliary verbs and common adverbs, which is what you want before a topic model. You can also edit the list directly, because the right stop words genuinely depend on the domain — "cloud" is a stop word in a cloud computing corpus and a keyword everywhere else.
Key features of the Stop Word Remover
Three built-in lists
Short for keyword research, standard for general use, aggressive for topic modelling — each suited to a different job.
Fully editable
Add your own stop words, which matters because a meaningless word in one corpus is the key term in another.
Reduction reported
How many words were removed and what share of the text they were, so you can see the effect.
Punctuation and case options
Keep punctuation for readability or drop it for a clean token stream, and decide whether case matters.
Removed words listed
The stop words that were actually found are shown with their counts, which is itself a useful view of a text.
How to use the Stop Word Remover
-
1
Paste your text
An article, a set of search queries or any corpus you are preparing.
-
2
Choose a word list
Short, standard or aggressive — or edit the list directly for your own domain.
-
3
Set how words are matched
Decide whether case matters and whether punctuation should be kept in the output.
-
4
Read the reduction
The tool reports how many words were removed and what share of the text they were.
Frequently asked questions
A very common word that carries little meaning on its own — articles, prepositions, conjunctions and auxiliary verbs. Search engines have historically dropped them from an index because they appear in almost every document.
Not from your content. Modern search engines understand phrases and removing stop words makes text unreadable to people. It is useful for analysing content — finding the terms a page really emphasises — rather than for writing it.
Standard for most work. Short when you are doing keyword research and want to keep prepositions that change meaning, such as "for" in "shoes for running". Aggressive before topic modelling, where you want only content words.
Yes, the list is fully editable. That matters because stop words are domain-specific: a word that is meaningless in one corpus is the key term in another.
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