New approaches for enhancing text summarization /
تطبيقات جديدة لتحسين تلخيص النصوص
Haidi Emade Eldean Hasan ; Supervised Magda Fayek
- Cairo : Haidi Emade Eldean Hasan Osman , 2012
- 114 Leaves : charts ; 30cm
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