Topic Modeler with Visualization

Name: Topic Modeler with Visualization
Price: 49 USD
Author: AAIO Inc

v1.0 documentation

Runs LDA or NMF topic modeling on a corpus and generates an interactive HTML visualization of topic distributions.

URL inputFile inputXLSX export

topic_modeler.py165 lines6 paramsPython 3.8+

Quick start

terminal

pip install -r requirements.txt

terminal

python topic_modeler.py --urls https://a.com https://b.com https://c.com --num-topics 8

terminal

python topic_modeler.py --files *.html --method nmf --output topics.xlsx --viz topics.html

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

Parameters

Flag	Description
`--urls`	Urls. Multiple values allowed
`--files`	Files. Multiple values allowed
`--num-topics`	Num topics (integer)
`--method`	Method. Options: lda, nmf
`--output`	Save as XLSX
`--viz`	Save visualization as HTML

help

python topic_modeler.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.

Works well with

Combine with other tools for a complete workflow:

Dependencies

Requires: beautifulsoup4, numpy, pandas, requests, scikit-learn. All included in requirements.txt.

One-time payment. Lifetime access. No monthly fees.
Learn 25 tools and get 25% back. Earn from client work and get 50% back.

AAIO Inc — aaioinc.com/tools/topic_modeler/