About N-gram Analyzer
Discover the most frequent word sequences (1- to 4-grams) in any web page or text. Includes frequency heatmaps, density percentages, stop-word filtering, alphabetical or frequency sorting, and compare mode to find shared vs unique phrases between two sources.
Frequently Asked Questions
What are n-grams?
N-grams are contiguous sequences of N words. Unigrams (1-gram) are individual words, bigrams (2-gram) are two-word phrases, and so on.
Why filter stop words?
Stop words like 'the', 'and', 'is' appear frequently in all content and often obscure meaningful keyword patterns. Toggle to see raw vs filtered results.
What does density mean?
Density is the n-gram's occurrence count divided by total word count, expressed as a percentage. High density signals keyword stuffing or strong topical focus.
How to Use N-gram Analyzer
- 1
Enter your target keyword, topic, or content
- 2
Configure the N-gram Analyzer parameters
- 3
Run the semantic analysis
- 4
Explore the results — entities, relationships, and insights
- 5
Apply findings to strengthen your content's semantic signals
- 6
Re-analyze to measure semantic improvements
Why Use N-gram Analyzer?
N-gram Analyzer reveals the semantic connections and entity relationships that drive modern search rankings. Google has moved far beyond keyword matching — BERT, MUM, and the Knowledge Graph understand meaning, context, and entity relationships. Use semantic analysis to align your content with how Google actually processes information.
Key Features
- Entity and relationship extraction
- Semantic relevance scoring
- Knowledge Graph connection analysis
- Topic coverage assessment
- Visual semantic maps
- Actionable content recommendations
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Keyword Density Checker
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