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New approaches for enhancing text summarization / Haidi Emade Eldean Hasan ; Supervised Magda Fayek

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Haidi Emade Eldean Hasan Osman , 2012Description: 114 Leaves : charts ; 30cmOther title:
  • تطبيقات جديدة لتحسين تلخيص النصوص [Added title page title]
Subject(s): Online resources: Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering Summary: Recently, latent semantic anslysis (LSA) has been suggested as one of the most promising approaches for text summarization. In this context, LSA can be viewed as a way to overcome two major challenges of text summarization, namely (i) sparseness and (ii) high dimensionality. Eventually, LSA similarity is computed in a lower dimensional space, in which second-order relations among terms and texts are exploited
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Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.06.M.Sc.2012.Ha.N (Browse shelf(Opens below)) Not for loan 01010110059657000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.06.M.Sc.2012.Ha.N (Browse shelf(Opens below)) 59657.CD Not for loan 01020110059657000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering

Recently, latent semantic anslysis (LSA) has been suggested as one of the most promising approaches for text summarization. In this context, LSA can be viewed as a way to overcome two major challenges of text summarization, namely (i) sparseness and (ii) high dimensionality. Eventually, LSA similarity is computed in a lower dimensional space, in which second-order relations among terms and texts are exploited

Issued also as CD

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