Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
Abstract
The digital world is full of tons and tons of electronic documents. This kind of large amount of information is cumbersome to read at a glance and also it takes more time to download the large content. In this paper, we propose sentence ranking measure to process the sentences and rank it with appropriate sentence rank score. Similar sentences are grouped into clusters. Based on the score, the sentences with highest score are considered as important sentences. The sentences with top scores from each cluster are retrieved for summary report. This summary report eases the user to quickly analyse the information. The experimental result proves the effectiveness of the system.
How to cite this article:
P. Vishnu Raja, K. Sangeetha and D. Deepa. Extractive Text Summarization System Using Fuzzy Clustering Algorithm for Mobile Devices.
DOI: https://doi.org/10.36478/ajit.2016.933.939
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2016.933.939