The Application of Closed Frequent Subtrees to Authorship Attribution
In this experimental study we compare the authorship attribution performance of two different types of distinguishing features; overlapping syntax subtrees of height one (or small trees) and closed frequent syntax subtrees. Authors and documents used in the experiments are randomly drawn from a larg...
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| Language: | English |
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Umeå universitet, Institutionen för datavetenskap
2014
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-86458 |
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ndltd-UPSALLA1-oai-DiVA.org-umu-86458 |
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ndltd-UPSALLA1-oai-DiVA.org-umu-864582014-02-28T04:00:35ZThe Application of Closed Frequent Subtrees to Authorship AttributionengLindh Morén, JonasUmeå universitet, Institutionen för datavetenskap2014In this experimental study we compare the authorship attribution performance of two different types of distinguishing features; overlapping syntax subtrees of height one (or small trees) and closed frequent syntax subtrees. Authors and documents used in the experiments are randomly drawn from a large corpus of blog posts and news articles. Results show that small trees outperform closed frequent trees on this data set, both in terms of classifier performance and computational eciency. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-86458UMNAD ; 981application/pdfinfo:eu-repo/semantics/openAccess |
| collection |
NDLTD |
| language |
English |
| format |
Others
|
| sources |
NDLTD |
| description |
In this experimental study we compare the authorship attribution performance of two different types of distinguishing features; overlapping syntax subtrees of height one (or small trees) and closed frequent syntax subtrees. Authors and documents used in the experiments are randomly drawn from a large corpus of blog posts and news articles. Results show that small trees outperform closed frequent trees on this data set, both in terms of classifier performance and computational eciency. |
| author |
Lindh Morén, Jonas |
| spellingShingle |
Lindh Morén, Jonas The Application of Closed Frequent Subtrees to Authorship Attribution |
| author_facet |
Lindh Morén, Jonas |
| author_sort |
Lindh Morén, Jonas |
| title |
The Application of Closed Frequent Subtrees to Authorship Attribution |
| title_short |
The Application of Closed Frequent Subtrees to Authorship Attribution |
| title_full |
The Application of Closed Frequent Subtrees to Authorship Attribution |
| title_fullStr |
The Application of Closed Frequent Subtrees to Authorship Attribution |
| title_full_unstemmed |
The Application of Closed Frequent Subtrees to Authorship Attribution |
| title_sort |
application of closed frequent subtrees to authorship attribution |
| publisher |
Umeå universitet, Institutionen för datavetenskap |
| publishDate |
2014 |
| url |
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-86458 |
| work_keys_str_mv |
AT lindhmorenjonas theapplicationofclosedfrequentsubtreestoauthorshipattribution AT lindhmorenjonas applicationofclosedfrequentsubtreestoauthorshipattribution |
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1716649184395788288 |