Due to the high volume of information and electronic documents on the Web, it is almost impossible for a human to study, research and analyze this volume of text. Summarizing the main idea and the major concept of the context enables the humans to read the summary of a large volume of text quickly and decide whether to further dig into details. Most of the existing summarization approaches have applied probability and statistics based techniques. But these approaches cannot achieve high accuracy. We observe that attention to the concept and the meaning of the context could greatly improve summarization accuracy, and due to the uncertainty that exists in the summarization methods, we simulate human like methods by integrating fuzzy logic with traditional statistical approaches in this study. The results of this study indicate that our approach can deal with uncertainty and achieve better results when compared with existing methods.
|Title of host publication
|2016 22nd International Conference on Automation and Computing (ICAC)
|Prof. Zhijie Xu, Dr. Jing Wang
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 24 Oct 2016
|22nd International Conference on Automation and Computing - Colchester, United Kingdom
Duration: 7 Sep 2016 → 8 Sep 2016
Conference number: 22
|22nd International Conference on Automation and Computing
|7/09/16 → 8/09/16