Classifying the content of domains
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Updated
Aug 20, 2026 - R
Classifying the content of domains
Classify the kind of content hosted by the domain using the domain name, and text and screenshot of the homepage.
WebSite-Classifier is a machine learning project that classifies websites based on their content. The repository includes code for web scraping, data cleaning, feature extraction, and model building using scikit-learn and pandas. In addition, the project includes a Flask module for deploying the model.
Automatically classify websites according to their legal characters
URL classification by Naive Bayes algorithm
Website classification using text processing techniques on DMOZ dataset
Workspace for the group Web-B-Gone of the 'Big Data and Language Technologies' course SoSe22 (Copy of the original repository)
A machine learning-based website classification system using URL, domain, and content features. Combines NLP, feature engineering, and a Random Forest model with rule-based logic for accurate and explainable predictions.
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