Semantic Drift Detector
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❖ NLP & Text Analysis

Semantic Drift Detector

v1.0 documentation

Detect when content drifts off-topic mid-article. Flag sections where focus shifts away from the target keyword/theme.

URL inputFile inputXLSX export
semantic_drift_detector.py93 lines4 paramsPython 3.8+
Quick start
1

Install

terminal
pip install -r requirements.txt
2

Run

terminal
python semantic_drift_detector.py --url https://example.com/post --keyword "cloud hosting"
terminal
python semantic_drift_detector.py --file article.html --keyword "seo tools" --output drift.xlsx
3

Export

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

Parameters
FlagDescription
--urlUrl
--fileFile
--keyword requiredKeyword
--outputOutput
help
python semantic_drift_detector.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, numpy, pandas, requests, scikit-learn, sentence-transformers. All included in requirements.txt.

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Get the full toolkit

AAIO Inc — aaioinc.com/tools/semantic_drift_detector/