Intelligent summarization of web documents

• Main Author: Zhang, Yi.
• Other Authors: Chen Lihui
• Format: Final Year Project
• Language: English
• Published: 2009
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• Online Access: http://hdl.handle.net/10356/17900
• Institution: Nanyang Technological University

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.