어떤 텍스트에서든 가장 일반적인 바이그램, 트라이그램, 4그램, 5그램을 추출합니다. 최소 빈도로 필터링하고 순수 불용어 구문을 제외할 수 있습니다.
Use the n-gram analyzer to find common phrases in writing, transcripts, or scraped content. Especially useful for SEO topical analysis, content gap analysis, and discovering author voice patterns.
The n-gram analyzer is more general than Keyword Density (no SEO framing). It's the natural next step after Word Frequency if you suspect important phrases lie above the single-word level.
An n-gram is a contiguous sequence of n words from a text. Bigrams are 2-word sequences ("machine learning"); trigrams are 3-word ("artificial neural network").
The analyzer counts every n-gram, filters by minimum frequency, and optionally drops phrases composed entirely of stopwords.
Lowercase normalization treats "The Cat" and "the cat" as the same n-gram — usually what you want for analysis.
Keyword density adds percentages and over-optimization warnings for SEO. The n-gram analyzer is a general phrase-frequency tool without the SEO framing.
Without filtering, the top n-grams are always "of the", "in the", "to the" — uninformative. The filter drops phrases composed entirely of stopwords.
For finding repeated long phrases — quotes, slogans, boilerplate. Most useful n is 2 or 3.
입력
500-word product description.
출력
Top bigrams: "machine learning" (8), "neural network" (5), "training data" (4).
N-grams reveal the actual phrases that dominate a text, including phrases the writer didn't consciously target. Useful for SEO topic discovery and content audit.