Word Frequency Analyzer: Find Top Words
Count how often each word appears in text — for content analysis, SEO, and keyword research.
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Tags: word frequency analyzer, word count frequency tool, text word counter
Word Frequency Analyzer: Find Top Words Part of our complete guide to this topic — see the full series. The Word Frequency tool counts every word in a text block, filters stop words, and ranks words by occurrence — surfacing what matters in any piece of writing. Word frequency analysis is a fundamental technique in computational linguistics; the NLTK documentation and Google Ngram Viewer are authoritative references for the field. --- What Word Frequency Analysis Does Word frequency analysis answers: what words dominate this text? It works by: Tokenizing text into words (splitting on whitespace, stripping punctuation). Normalizing (lowercasing, optional stemming). Counting occurrences of each unique token. Sorting by count descending. Optionally filtering common stop words. Without…
Frequently Asked Questions
How do I count word frequency in text?
Paste your text into the Word Frequency Analyzer and click Analyze. The tool tokenizes the text, counts each unique word, and displays the results sorted by frequency (most common first).
How do I find the most common words in a document?
Run the analyzer with stop-word filtering enabled. Stop words (the, a, is, in, of) are removed so the results surface meaningful content words rather than function words.
How do I ignore stop words in frequency analysis?
Enable the Filter Stop Words option. The tool applies a built-in English stop word list. For other languages or custom exclusions, add words to the Exclude list before analyzing.
How do I export word frequencies?
Click the Copy or Download button after analyzing. The output is tab-separated (word, count) suitable for pasting into a spreadsheet. You can also download it as a .txt or .csv file.
What is term frequency (TF) in NLP?
Term frequency (TF) is the ratio of a word's count to the total word count in a document. TF = (count of word) / (total words). Combined with inverse document frequency (IDF), TF-IDF measures how important a word is relative to a corpus, not just a single document.
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