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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| Format: | Final Year Project |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/74043 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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. |
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