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...
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/73990 |
_version_ | 1811678266905329664 |
---|---|
author | Tan, Wee Kiat |
author2 | Arjit Khan |
author_facet | Arjit Khan Tan, Wee Kiat |
author_sort | Tan, Wee Kiat |
collection | NTU |
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. |
first_indexed | 2024-10-01T02:50:32Z |
format | Final Year Project (FYP) |
id | ntu-10356/73990 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T02:50:32Z |
publishDate | 2018 |
record_format | dspace |
spelling | ntu-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 |
spellingShingle | DRNTU::Engineering::Computer science and engineering Tan, Wee Kiat Analysing word-networks – Project II |
title | 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_short | Analysing word-networks – Project II |
title_sort | analysing word networks project ii |
topic | DRNTU::Engineering::Computer science and engineering |
url | http://hdl.handle.net/10356/73990 |
work_keys_str_mv | AT tanweekiat analysingwordnetworksprojectii |