A big data text mining for document summarization
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...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
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2018
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| Online Access: | http://hdl.handle.net/10356/74043 |
| _version_ | 1811696003065053184 |
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| author | Cui, Bolun |
| author2 | Lam Kwok Yan |
| author_facet | Lam Kwok Yan Cui, Bolun |
| author_sort | Cui, Bolun |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T07:32:27Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/74043 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:32:27Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-10356/740432023-03-03T20:32:38Z A big data text mining for document summarization Cui, Bolun Lam Kwok Yan School of Computer Science and Engineering DRNTU::Engineering 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. Bachelor of Engineering (Computer Science) 2018-04-23T14:50:59Z 2018-04-23T14:50:59Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/74043 en Nanyang Technological University 59 p. application/pdf |
| spellingShingle | DRNTU::Engineering Cui, Bolun A big data text mining for document summarization |
| title | A big data text mining for document summarization |
| title_full | A big data text mining for document summarization |
| title_fullStr | A big data text mining for document summarization |
| title_full_unstemmed | A big data text mining for document summarization |
| title_short | A big data text mining for document summarization |
| title_sort | big data text mining for document summarization |
| topic | DRNTU::Engineering |
| url | http://hdl.handle.net/10356/74043 |
| work_keys_str_mv | AT cuibolun abigdatatextminingfordocumentsummarization AT cuibolun bigdatatextminingfordocumentsummarization |