Intelligent summarization of web documents
Date of Issue2009
School of Electrical and Electronic Engineering
To relieve the pain caused by information overload, many researches have been carried out to provide high-quality summarizations so that the user can quickly locate the desired information. Intelligent Summarizer (I-Summarizer) is a system which can present desired sizes of summary that consists of important sentences originated from the multiple web documents. In this report, I-Summarizer is modified by replacing its original Fuzzy Co-clustering algorithm with Non-negative Matrix Tri-factorization (Tri-NMF) clustering algorithm. The purpose is to develop a new summarization system with a different clustering algorithm so that to investigate the performances of different systems. The report discusses the complete processes of modifying I-Summarizer from implementing Tri-NMF to integration with I-Summarizer, subsequently provides the evaluation of summarized outputs. The report concludes with the objectives achieved by developing the new summarization system based on I-Summarizer, along with the recommendations for future development.
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Final Year Project (FYP)
Nanyang Technological University