Emotion Classifier
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❖ NLP & Text Analysis

Emotion Classifier (Beyond Sentiment)

v1.0 documentation

Classify text into 8 granular emotions: joy, trust, fear, surprise, anger, anticipation, disgust, sadness — not just positive/negative.

URL inputFile inputText inputXLSX export
emotion_classifier.py103 lines4 paramsPython 3.8+
Quick start
1

Install

terminal
pip install -r requirements.txt
2

Run

terminal
python emotion_classifier.py --url https://example.com/post --output emotions.xlsx
terminal
python emotion_classifier.py --file article.html
3

Export

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

Parameters
FlagDescription
--urlUrl
--fileFile
--textText
--outputOutput
help
python emotion_classifier.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, pandas, requests. All included in requirements.txt.

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Get the full toolkit

AAIO Inc — aaioinc.com/tools/emotion_classifier/