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An Efficient Scheme for Extractive Summarization of Text

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dc.contributor.author Hira Tauseef, 01-243182-009
dc.date.accessioned 2022-01-17T10:26:57Z
dc.date.available 2022-01-17T10:26:57Z
dc.date.issued 2021
dc.identifier.uri http://hdl.handle.net/123456789/11648
dc.description Supervised by Dr. Muhammad Asfand-e-Yar en_US
dc.description.abstract The abundance of online information may be the best and worst thing that has happened in the past decade. The overwhelming amount of information may be a lot for the consumers to absorb and retain. Various methods have been developed over the years to tackle the issue of over-burdening consumers and the research has led to the topic of text summarization. Text summarization is the method of producing a concise version of text by retaining the most relevant information. Most of the existing studies revolve around unsupervised methods and smaller documents. The method proposed in paper provides a parallel view of supervised and unsupervised methods and gives an insight on both approaches through experimentation and analysis. en_US
dc.language.iso en en_US
dc.publisher Computer Sciences BUIC en_US
dc.relation.ispartofseries MS (CS);T-9672
dc.subject Efficient Scheme en_US
dc.subject Extractive Summarization en_US
dc.title An Efficient Scheme for Extractive Summarization of Text en_US
dc.type MS Thesis en_US


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