Process data is not in a standard format that can be directly used in traditional statistical methods. Each observation of process data is a sequence of categorical variables. The sequence lengths are usually unequal and vary in a wide range. A simple idea to incorporate process data in statistical analysis is to compress the information contained in irregular categorical sequences into fixed-dimension continuous vectors. Below are two feature extraction methods for process data.