Ngram Analyzer
❖ NLP & Text Analysis

N-gram Analyzer

v1.0 documentation

Frequency analysis of unigrams, bigrams, trigrams, and custom n-grams. Useful for finding common phrases, keyword patterns, and content themes.

URL inputFile inputText inputXLSX export
ngram_analyzer.py98 lines8 paramsPython 3.8+
Quick start
1

Install

terminal
pip install -r requirements.txt
2

Run

terminal
python ngram_analyzer.py --url https://example.com/page --max-ngram 4 --top 30
terminal
python ngram_analyzer.py --file content.txt --output ngrams.xlsx
3

Export

Add --output report.xlsx to save results as a spreadsheet.

Parameters
FlagDescription
--urlURL to analyze
--fileText/HTML file
--textRaw text
--min-ngramMin ngram (integer)
--max-ngramMax ngram (integer)
--topTop N per n-gram size. Default: 20 (integer)
--keep-stopwordsEnable keep stopwords mode (flag, no value needed)
--outputSave as XLSX
help
python ngram_analyzer.py --help
Use cases
Content quality audit
Writer evaluation
Client deliverable

Run across all your blog posts to score quality. Sort by score in the XLSX export, then prioritize rewrites for the lowest-scoring pages.

Before publishing freelance content, run this tool to check quality signals. Use specific metrics as concrete feedback for writers.

Include the analysis in your SEO audit report. Clients appreciate data-backed recommendations over subjective opinions.

Dependencies

Requires: beautifulsoup4, nltk, pandas, requests. All included in requirements.txt.

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Get the full toolkit

AAIO Inc — aaioinc.com/tools/ngram_analyzer/