A microblog event abstract extracting method based on multiple storylines comprises steps as follows: S1, microblog corpus preprocessing; S2, microblog vectorization; S3, primary extraction of microblog event storylines; S4, merging of storylines; S5, reconstruction of the storylines; S6, displaying of abstract results. The microblog is vectorized with a word embedding technology, a similarity matched improvement condition random field method of microblogs is obtained by aid of the vector cosine values, and construction and merging of the storylines are realized. A microblog event abstract containing multiple storylines can be generated for one microblog event, and node content in the storylines is the most representative microblog in the time period. Multiple aspects of the event are depicted through multiple storylines, so that a user can better efficiently and better comprehensively know a certain microblog event. In order to evaluate advantages and disadvantages of the abstracts, precision P@N in the position n is selected as the measurement standard. The precision is basically kept to be higher than 0.6, and the method is remarkably superior to an existing method.