https://github.com/kahliloppenheimer/Web-page-classification

Classifies webpages into categories defined in DMOZ dataset
https://github.com/kahliloppenheimer/Web-page-classification

Last synced: 4 days ago
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Classifies webpages into categories defined in DMOZ dataset

• Host: GitHub
• URL: https://github.com/kahliloppenheimer/Web-page-classification
• Owner: kahliloppenheimer
• License: mit
• Created: 2015-12-01T04:07:57.000Z (almost 9 years ago)
• Default Branch: master
• Last Pushed: 2015-12-14T22:16:24.000Z (almost 9 years ago)
• Last Synced: 2024-10-12T01:38:49.421Z (about 1 month ago)
• Language: Shell
• Size: 169 KB
• Stars: 41
• Watchers: 2
• Forks: 10
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Topical Web-page classification of the DMOZ Dataset

### [Read the paper](paper.pdf)

This repository contains all scripts associated with my research on topical Web-page classification. You can read the full paper describing the task, experiments, and results [here](paper.pdf).

## Abstract

Multi-class topical web-page classification is a difficult task with widespread application. Throughout this paper, I analyze the performance of well-studied techniques on two different representations of web-pages: hand-written meta-descriptions and on-page text content. I acquired all of the training labels and website descriptions from the DMOZ dataset and all of the on-page content from scraping the actual web-pages. I achieved 74.035% and 79.121% accuracy for on-page content and website descriptions respectively in a 16-way classification task with a 42.032% most frequently tagged baseline accuracy.