cnumr / cnumr/EcoIndex_python

Predict page category

Open
#27 0 comments 0 reactions 0 assignees View on GitHub
enhancement keep open
Dominant language
Python
Stars
26
Forks
10
Avg merge
13h 31m
Merged PRs (30d)
5

Description

Use [common webpage categorization](https://docs.webshrinker.com/v3/iab-website-categories.html#iab-categories) to classify analyzed webpages

https://www.kaggle.com/code/bpmtips/iab-classification-of-text/notebook

Contributor guide

Open the contributing guide

Research direction

Start with the linked IAB category documentation and Kaggle notebook to understand the intended taxonomy and approach. The issue names no repository file, entry point, test, or completion criteria, so locate the webpage-analysis path and define how category predictions will be verified.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.