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Classifying a website based on it's URL. I've implemented Stochastic Gradient Descent, Multinomial Naive Bayes and Convolutional Neural Network for classifying the category of the URL.

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Shaurov05/Website-Classification

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1. Using SGD(Stocastic Gradient Descent)
1. Using SGD(Stocastic Gradient Descent)
 
 
2. Using MNB(multinomial Naive Bayes)
2. Using MNB(multinomial Naive Bayes)
 
 
3. Using CNN(Convolutional Neural Network)
3. Using CNN(Convolutional Neural Network)
 
 
README.md
README.md
 
 
webC_MNB(0.9015).ipynb
webC_MNB(0.9015).ipynb
 
 

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URL Based Website Classification Using Deep Learning and Word Based Multiple N-gram Models

I’ve applied SGD and MNB classifiers for website classification by performing stemming on words within URLs and then also applied the same algorithms on n-grams without performing stemming. I’ve also implemented CNN on unigram, bigram, and trigram models.

DMOZ dataset is used for this task. It was known as open directory project(ODP). This dataset has over 1.5 websites with 15 categories that they belong like sports, Arts, Business etc. (you can find it here https://www.kaggle.com/shaurov/datasets).

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Classifying a website based on it's URL. I've implemented Stochastic Gradient Descent, Multinomial Naive Bayes and Convolutional Neural Network for classifying the category of the URL.

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cnn naive-bayes-classifier sgd-classifier

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