Abstract:

Microblog features complex contents and sparse information. In order to solve these problems, on the basis of indepth study on traditional automatic abstract techniques, combing with the data of microblog features, we propose a hybrid automatic summarization method based on statistics and comprehension for microblog event extraction. Firstly, we obtain the initial abstract based on the statistics according to word frequency and the location of sentences. Then we calculate sentence similarity through the semantic dictionary, determine the event subject, process the semantic understanding based readability, and make the final abstract more readable. Finally, a reasonable abstract evaluation method is adopted to evaluate the obtained abstract. Experimental results show that the proposed method can obtain a good summary of stable quality and readability under different compression ratios.

Key words: micro-blog event;event value;readablity;automatic summarization