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Sensitive Information Detection Using HMM&SVM

With the use of electronic data, the protection and detection of sensitive information is an important issue for businesses and individuals. However, most sensitive detection methods focus on traditional machine learning methods like CNN and RNN, which are traditional and inefficient compared to HMM and SVM. This paper analyzes text information, using HMM and SVM to detect the sensitive information in the text file. The conclusion is drawn out that besides traditional machine learning methods, SVM and HMM models can also help us do the classification problem to extract the focused information, which cannot be exposed to the public.