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Automated Multiple Related Documents Summarization via Jaccardís Coefficient
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 13 - Number 3 |
| Year of Publication: 2011 |
| Authors: Huda Yasin, Mohsin Mohammad Yasin, Farah Mohammad Yasin |
10.5120/1762-2415
|
Huda Yasin, Mohsin Mohammad Yasin, Farah Mohammad Yasin . Automated Multiple Related Documents Summarization via Jaccardís Coefficient. International Journal of Computer Applications. 13, 3 ( January 2011), 12-15. DOI=10.5120/1762-2415
Abstract
Today, in the hasty advancement epoch of technology, allotting and gathering of information are imperative. Readers enthrall with an undersized edition of copious prolonged text documents. In this paper, we represent our approach which we used in our Automated Text Summarization System known as MDSS (Multiple Documents Summarization System). We elucidate a new fangled approach which is based on statistical (rather than semantic) factors. In contrast to single document summarization, the issues of compression, speediness, superfluous and passage opting are more decisive in multiple documents summarization. For sentence comparison, Jaccard’s coefficient is used to improve the worth and quality of the summarization. Resemblance exists between our algorithms and dynamic time warping. Our experimental domino effects indicate that it is useful and effectual to enhance the quality of multiple documents summarization via Jaccard’s coefficient. Our system MDSS is implemented in Java (jdk 1.6).
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