Network analysis applied to study works of fiction
With the rise in prominence of digitalised literacy works in recent years, computational approaches to analyse literature texts have increased in popularity to compliment traditional literature analysis techniques. This paper aims to combine natural language processing, network science and machine...
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Nanyang Technological University
2022
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sg-ntu-dr.10356-1569372023-02-28T23:10:50Z Network analysis applied to study works of fiction Toh, De Xun Fedor Duzhin School of Physical and Mathematical Sciences FDuzhin@ntu.edu.sg Science::Mathematics::Statistics Science::Mathematics::Applied mathematics With the rise in prominence of digitalised literacy works in recent years, computational approaches to analyse literature texts have increased in popularity to compliment traditional literature analysis techniques. This paper aims to combine natural language processing, network science and machine learning techniques to explore how new insights can be obtained by using network features for prediction and classification machine learning tasks. Bachelor of Science in Mathematical Sciences 2022-04-29T03:36:28Z 2022-04-29T03:36:28Z 2022 Final Year Project (FYP) Toh, D. X. (2022). Network analysis applied to study works of fiction. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156937 https://hdl.handle.net/10356/156937 en application/pdf Nanyang Technological University |
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Singapore Singapore |
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Science::Mathematics::Statistics Science::Mathematics::Applied mathematics |
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Science::Mathematics::Statistics Science::Mathematics::Applied mathematics Toh, De Xun Network analysis applied to study works of fiction |
| description |
With the rise in prominence of digitalised literacy works in recent years, computational approaches to analyse literature texts have increased in popularity to compliment traditional literature analysis
techniques. This paper aims to combine natural language processing, network science and machine learning techniques to explore how new insights can be obtained by using network features for prediction and classification machine learning tasks. |
| author2 |
Fedor Duzhin |
| author_facet |
Fedor Duzhin Toh, De Xun |
| format |
Final Year Project |
| author |
Toh, De Xun |
| author_sort |
Toh, De Xun |
| title |
Network analysis applied to study works of fiction |
| title_short |
Network analysis applied to study works of fiction |
| title_full |
Network analysis applied to study works of fiction |
| title_fullStr |
Network analysis applied to study works of fiction |
| title_full_unstemmed |
Network analysis applied to study works of fiction |
| title_sort |
network analysis applied to study works of fiction |
| publisher |
Nanyang Technological University |
| publishDate |
2022 |
| url |
https://hdl.handle.net/10356/156937 |
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1759852979294306304 |