Data mining - project I
This project aims to explore the possibilities of one of the most state of the art problem in Data Mining which is Authorship Attribution. In this research, we use word networks to create graphs of different texts by multiple authors. Then the comparison happens in these word networks to see various...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2017
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| Online Access: | http://hdl.handle.net/10356/70392 |
| _version_ | 1826124304971988992 |
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| author | Sharma, Dhruv |
| author2 | Arijit Khan |
| author_facet | Arijit Khan Sharma, Dhruv |
| author_sort | Sharma, Dhruv |
| collection | NTU |
| description | This project aims to explore the possibilities of one of the most state of the art problem in Data Mining which is Authorship Attribution. In this research, we use word networks to create graphs of different texts by multiple authors. Then the comparison happens in these word networks to see various attributes associated with authorship attribution and how similar or different they are for texts from same authors for example. The project aims to use this data to evaluate the suitability of word networks as an appropriate data structure for this problem and if it is, then find suitable algorithms for this problem. |
| first_indexed | 2024-10-01T06:18:28Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/70392 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:18:28Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/703922023-03-03T20:57:51Z Data mining - project I Sharma, Dhruv Arijit Khan School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering This project aims to explore the possibilities of one of the most state of the art problem in Data Mining which is Authorship Attribution. In this research, we use word networks to create graphs of different texts by multiple authors. Then the comparison happens in these word networks to see various attributes associated with authorship attribution and how similar or different they are for texts from same authors for example. The project aims to use this data to evaluate the suitability of word networks as an appropriate data structure for this problem and if it is, then find suitable algorithms for this problem. Bachelor of Engineering (Computer Science) 2017-04-24T01:23:10Z 2017-04-24T01:23:10Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/70392 en Nanyang Technological University 10 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Sharma, Dhruv Data mining - project I |
| title | Data mining - project I |
| title_full | Data mining - project I |
| title_fullStr | Data mining - project I |
| title_full_unstemmed | Data mining - project I |
| title_short | Data mining - project I |
| title_sort | data mining project i |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | http://hdl.handle.net/10356/70392 |
| work_keys_str_mv | AT sharmadhruv dataminingprojecti |