The conventional text similarity detection usually use word frequency vectors to represent texts. But it is high-dimensional and sparse. So in this research, a new text similarity detection algorithm using component relation map (CRM-TSD) is proposed. This method is based on the mathematical expression of Chinese characters with which Chinese characters can be split into components. Then each component's occurrence number will be counted for building the Component Histogram Map (CHM) in a text. All the relationship of correlated components which are split from a Chinese character will be depic...
