Analysing word-networks – Project II

In this paper, it aims to explore authorship attribution through a set of features that are extracted from the word-network representation. In previous research, authorship attribution was carried out using machine learning techniques on complex word-network features. The goal of this project is to...

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Main Author: Tan, Wee Kiat
Other Authors: Arjit Khan
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/73990
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-739902023-03-03T20:57:46Z Analysing word-networks – Project II Tan, Wee Kiat Arjit Khan School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering In this paper, it aims to explore authorship attribution through a set of features that are extracted from the word-network representation. In previous research, authorship attribution was carried out using machine learning techniques on complex word-network features. The goal of this project is to work on authorship attribution by implementing and exploring the different analysis which make use of the extracted properties from the word-network representation. Bachelor of Engineering (Computer Science) 2018-04-23T04:31:17Z 2018-04-23T04:31:17Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/73990 en Nanyang Technological University 127 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
Tan, Wee Kiat
Analysing word-networks – Project II
description In this paper, it aims to explore authorship attribution through a set of features that are extracted from the word-network representation. In previous research, authorship attribution was carried out using machine learning techniques on complex word-network features. The goal of this project is to work on authorship attribution by implementing and exploring the different analysis which make use of the extracted properties from the word-network representation.
author2 Arjit Khan
author_facet Arjit Khan
Tan, Wee Kiat
format Final Year Project
author Tan, Wee Kiat
author_sort Tan, Wee Kiat
title Analysing word-networks – Project II
title_short Analysing word-networks – Project II
title_full Analysing word-networks – Project II
title_fullStr Analysing word-networks – Project II
title_full_unstemmed Analysing word-networks – Project II
title_sort analysing word-networks – project ii
publishDate 2018
url http://hdl.handle.net/10356/73990
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