The present invention discloses a text clustering and analysis method for repeating caller work orders of customer service calls. The method comprises the following steps: cleaning an extracted customer service work order, and removing an abnormal caller number among repeating calls; extracting work orders of the same calls by using an association rule, and establishing a repeating caller work order text set; establishing a vector space model, using a feature vector to represent a feature text, using a vector whose components are weights of feature items to represent an entire text, and determining similarity between texts; extracting repeating caller work orders with similar content from the same user through hierarchical clustering, and analyzing a semantic feature; and recording, in a timely manner, problems reflected by repeating caller work orders to form a list of problems reflected by the repeating caller work orders. According to the method, manual retrieval of the repeating caller work orders is replaced, thereby improving working efficiency.