A method for generating document summary using field association knowledge and subjectively information

In the recent years, with the expansion of the Internet there has been tremendous growth in the volume of electronic text documents available information on the Web, which making difficulty for users to locate efficiently needed information. To facilitate efficient searching for information, research to summarize the general outline of a text document is essential. Moreover, as the information from bulletin boards, blogs, and other sources is being used as consumer generated media data, text summarization become necessary. In this paper a new method for document summary using three attribute information called: the field, associated terms, and attribute grammars is presented, this method establish a formal and efficient generation technology. From the experiments results it turns out that the summary accuracy rate, readability, and meaning integrity are 87.5%, 85%, and 86%, respectively using information from 400 blogs.