Question: how svm works in text classification?
Answer: Support vector machines is an algorithm that determines the best decision boundary between vectors that belong to a given group (or category) and vectors that do not belong to it. ... This means that in order to leverage the power of svm text classification, texts have to be transformed into vectors.