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A study on automated summarization of a large texts
, J. Sharon Moses, N. Pareek, J.P. Nivash
Published in International Journal of Pharmacy and Technology
2016
Volume: 8
   
Issue: 4
Pages: 25927 - 25931
Abstract
This paper concentrates upon the idea of summarizing a text just by abstraction of some of the relevant keywords and then grouping them to make a meaningful sentence. The base of the problem is the increasing data over the internet that comes as a result of the search in some search-engine. Though that result is refined, but still it shows a huge number of pages as a result of our query. Other than the search results for our query, we daily encounter a need for a system like what we propose in different areas like news, or refining the reviews that are some pages long. The idea can be implemented by some changes in the current algorithms that, as of now, use the concept of extraction rather than abstraction. The existing algorithms use different methodologies to summarize a given text here we will be using Zhou Zhi’, Hinny Kong Pe Hin and Robert Kheng Leng Gail Goh Wee Lin, Lee Shau Yang’s iT-sum[3] with certain modifications. Though that algorithm produces a good result, we have further improvements to make it even better. © 2016, International Journal of Pharmacy and Technology. All rights reserved.
About the journal
JournalInternational Journal of Pharmacy and Technology
PublisherInternational Journal of Pharmacy and Technology
ISSN0975766X