Data mining - project I

This project aims to explore the possibilities of one of the most state of the art problem in Data Mining which is Authorship Attribution. In this research, we use word networks to create graphs of different texts by multiple authors. Then the comparison happens in these word networks to see various...

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Main Author: Sharma, Dhruv
Other Authors: Arijit Khan
Format: Final Year Project
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/70392
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-70392
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spelling sg-ntu-dr.10356-703922023-03-03T20:57:51Z Data mining - project I Sharma, Dhruv Arijit Khan School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering This project aims to explore the possibilities of one of the most state of the art problem in Data Mining which is Authorship Attribution. In this research, we use word networks to create graphs of different texts by multiple authors. Then the comparison happens in these word networks to see various attributes associated with authorship attribution and how similar or different they are for texts from same authors for example. The project aims to use this data to evaluate the suitability of word networks as an appropriate data structure for this problem and if it is, then find suitable algorithms for this problem. Bachelor of Engineering (Computer Science) 2017-04-24T01:23:10Z 2017-04-24T01:23:10Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/70392 en Nanyang Technological University 10 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Sharma, Dhruv
Data mining - project I
description This project aims to explore the possibilities of one of the most state of the art problem in Data Mining which is Authorship Attribution. In this research, we use word networks to create graphs of different texts by multiple authors. Then the comparison happens in these word networks to see various attributes associated with authorship attribution and how similar or different they are for texts from same authors for example. The project aims to use this data to evaluate the suitability of word networks as an appropriate data structure for this problem and if it is, then find suitable algorithms for this problem.
author2 Arijit Khan
author_facet Arijit Khan
Sharma, Dhruv
format Final Year Project
author Sharma, Dhruv
author_sort Sharma, Dhruv
title Data mining - project I
title_short Data mining - project I
title_full Data mining - project I
title_fullStr Data mining - project I
title_full_unstemmed Data mining - project I
title_sort data mining - project i
publishDate 2017
url http://hdl.handle.net/10356/70392
_version_ 1759856288391495680