Integrating of the Diversity and Swarm Based Methods for Text Summarization

Automatic text summarization is a technique concerning the creation of a compressed form for single document or multidocuments. The summary creation under the condition of the redundancy and the summary length limitation is a challenge problem. The automatic text summarization system which is built based on exploiting of the advantages of different resources in form of an integration model could produce a good summary for the original document. In this paper, we introduced an integration model for automatic text summarization problem; we tried to exploit different resources advantages in building of our model like advantage of diversity based method which can filter the similar sentences and select the most diverse ones and advantage of the differentiation between the most important features and less important using swarm based method. The experimental results showed that our model got the best performance over all methods used in this study.