Emotion Classifier (Beyond Sentiment)
Classify text into 8 granular emotions: joy, trust, fear, surprise, anger, anticipation, disgust, sadness — not just positive/negative.
Install
pip install -r requirements.txtRun
python emotion_classifier.py --url https://example.com/post --output emotions.xlsxpython emotion_classifier.py --file article.htmlExport
Add --output report.xlsx to save results as a spreadsheet.
| Flag | Description |
|---|---|
--url | Url |
--file | File |
--text | Text |
--output | Output |
python emotion_classifier.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. All included in requirements.txt.
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AAIO Inc — aaioinc.com/tools/emotion_classifier/