Intergeneration Division Based on Key Component Analysis in an Autonomous Transportation System Using the Natural Language Processing Method

Figure 2

Overview of our method. In each item, a component word set extraction module is proposed to collect component word set and then clusters its component with year by K-means to get generation feature. An LDA2vec work is used in the component word set extraction module to get the relationship between the component and other features.