What are some common text classification algorithms?

What are some common text classification algorithms?

Some common text classification algorithms include Naive Bayes, Support Vector Machines, and Neural Networks.

How does the Naive Bayes algorithm work?

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

What are the advantages of using Support Vector Machines?

Support Vector Machines are effective in high-dimensional spaces and are robust against overfitting, especially in cases with clear margins.

Can you explain how Neural Networks are used for text classification?

Neural Networks can learn complex patterns in data. They use layers of interconnected nodes to process and classify text based on features.