What are some common algorithms used for text classification?

What are some common algorithms used for text classification?

Some common algorithms for text classification include Naive Bayes, Support Vector Machines, and Decision Trees.

Can you explain how Naive Bayes works?

Naive Bayes is based on Bayes' theorem and assumes independence between features. It calculates the probability of each class given the features.

What about Support Vector Machines?

Support Vector Machines (SVM) find the hyperplane that best separates different classes in the feature space, maximizing the margin between them.

Are there any deep learning approaches for text classification?

Yes, deep learning approaches like Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) are also popular for text classification tasks.