期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2012
卷号：9
期号：4
出版社：IJCSI Press
摘要：Due to rapid and increasingly growth of electronic texts and documents, we need some techniques for integration, communication and appropriate utilization of these texts. Summarizing the literature is one of the most fundamental tasks for integrating and taking advantages of these gathered texts. Selecting key words and then integrating them as a summary text, is the most common method in text summarization. In this paper we present a new method of automatic text summarization, with bacterial foraging optimization. The main idea of this method, is weighting words, then valuing the sentences, and finally extracting key sentences from the text, as the summarized text. It should be noted that, here we used the weighting term TF-IDF method, to determine weight for each text. Also, the bacterial foraging optimization used to converge the solutions is obtained from each bacteria, and finally the best candidate summarized text is given.
