Why does SVM perform well in text classification tasks?

SVM performs well in text classification due to high-dimensional sparse feature spaces.

Text data represented using TF-IDF results in very high-dimensional sparse vectors. SVM handles such spaces efficiently by focusing on margin maximization rather than distance distributions, making it robust and effective for classification tasks like spam detection.