Naive Bayes classifier and logistic regression are effective methods for text classification, particularly with large datasets. Deep learning techniques, like CNNs and RNNs, capture complex patterns. Performance evaluation using metrics like accuracy and F1-score is crucial. Deployment can involve frameworks like Flask for serving predictions.