Sentiment Analyzer
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❖ NLP & Text Analysis

Sentiment Analyzer for SEO

v1.0 documentation

Analyzes sentiment at page, paragraph, and heading level. Useful for understanding content tone and emotional appeal.

URL inputFile inputText inputXLSX export
sentiment_analyzer.py138 lines4 paramsPython 3.8+
Quick start
1

Install

terminal
pip install -r requirements.txt
2

Run

terminal
python sentiment_analyzer.py --url https://example.com/page
terminal
python sentiment_analyzer.py --file review.html --output sentiment.xlsx
3

Export

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

Parameters
FlagDescription
--urlURL to analyze
--fileHTML/text file
--textRaw text
--outputSave as XLSX
help
python sentiment_analyzer.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, nltk, pandas, requests. All included in requirements.txt.

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AAIO Inc — aaioinc.com/tools/sentiment_analyzer/