Classifying the content of domains
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Updated
Oct 30, 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
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.
Workspace for the group Web-B-Gone of the 'Big Data and Language Technologies' course SoSe22 (Copy of the original repository)
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