Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/74043
Title: A big data text mining for document summarization
Authors: Cui, Bolun
Keywords: DRNTU::Engineering
Issue Date: 2018
Abstract: This project aims to research and develop a big data text mining tool for document summarization. To verify its effectiveness, the tool will be applied to process legal documents, mainly on topics of magistrates issues and Intellectual Property. Recent researches focus on court cases has been on semantic search utilizing syntax and contextual semantics to improve prediction accuracy. In this project, we will investigate the use of topic modeling to achieve effective summarization for legal case documents. The techniques will be instrumental in other areas such as threat intelligence analytics for Cybersecurity.
URI: http://hdl.handle.net/10356/74043
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
Amended_Final_Year_Project_Report-1.pdf
  Restricted Access
1.88 MBAdobe PDFView/Open

Page view(s)

99
checked on Sep 30, 2020

Download(s)

27
checked on Sep 30, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.