❖ NLP & Text Analysis
ML Content Quality Scorer — Train custom scoring model on content features.
v1.0 documentation
CSV/XLSX inputText inputXLSX export
Quick start
1
Install
pip install -r requirements.txt2
Run
python content_scoring_ml.py --help3
Export
Add --output report.xlsx to save results as a spreadsheet.
Parameters
| Flag | Description |
|---|---|
--input required | Input |
--text-col | Text col |
--score-col | Score col |
--output | Output |
python content_scoring_ml.py --helpUse 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.
Works well with
Combine with other tools for a complete workflow:
Dependencies
Requires: numpy, pandas, scikit-learn. All included in requirements.txt.
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AAIO Inc — aaioinc.com/tools/content_scoring_ml/