Semantic Similarity Comparator
Compare semantic similarity between pages, paragraphs, or keyword groups using sentence-transformer embeddings.
Install
pip install -r requirements.txtRun
python semantic_similarity.py --urls https://a.com https://b.com https://c.compython semantic_similarity.py --texts "text one" "text two" "text three"python semantic_similarity.py --file content.txt --compare-url https://competitor.com/pageExport
Add --output report.xlsx to save results as a spreadsheet.
| Flag | Description |
|---|---|
--urls | URLs to compare. Multiple values allowed |
--texts | Text strings to compare. Multiple values allowed |
--files | Files to compare. Multiple values allowed |
--model | Model |
--paragraph-compare | Enable model mode (flag, no value needed) |
--output | Save as XLSX |
python semantic_similarity.py --helpAnalyze existing content to find what needs updating, merging, or removing. Export results and create a content maintenance plan.
Run before publishing new content to ensure it meets quality thresholds. Fix issues before they go live.
Compare your content against top-ranking competitors. Identify gaps and opportunities to improve.
Combine with other tools for a complete workflow:
Requires: beautifulsoup4, numpy, pandas, requests, scikit-learn, sentence-transformers. All included in requirements.txt.
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