Entity Relation Extractor
Extract typed relationships between entities using dependency parsing. Build knowledge graph triples: (Subject, Relation, Object).
Install
pip install -r requirements.txtRun
python relation_extractor.py --url https://example.com/post --output relations.xlsxpython relation_extractor.py --file article.txt --format json --output relations.jsonExport
Add --output report.xlsx to save results as a spreadsheet.
| Flag | Description |
|---|---|
--url | Url |
--file | File |
--text | Text |
--format | Format. Options: xlsx, json, csv |
--output | Output |
python relation_extractor.py --helpRun 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.
Combine with other tools for a complete workflow:
Requires: beautifulsoup4, pandas, requests, spacy. All included in requirements.txt.
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AAIO Inc — aaioinc.com/tools/relation_extractor/