Stylometry Metrics Selection for Creating a Model for Evaluating the Writing Style of Authors According to Their Cultural Orientation
The present paper starts from a short introduction of the major aspects debated regarding plagiarism and author identification, along with the principles that are at the base of forming the property rights laws within the European community and the Anglo-American one. Regardless of the community inv...
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| Format: | Article |
| Language: | English |
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Inforec Association
2015-01-01
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| Series: | Informatică economică |
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| Online Access: | http://www.revistaie.ase.ro/content/75/10%20-%20Zurini.pdf |
| Summary: | The present paper starts from a short introduction of the major aspects debated regarding plagiarism and author identification, along with the principles that are at the base of forming the property rights laws within the European community and the Anglo-American one. Regardless of the community involved, plagiarism is a form of using others research, as it is or modified, and presenting it as a personal creation. The terms of creativity and plagiarism are described in an antithesis analysis, reaching to the concept of originality, defined as a property that a creative research paper has when the ideas presented within in are different from the ones already published by different authors. A metric is implemented in order to obtain a measurable value in determining the level of originality of a paper. The main ways of testing a paper of plagiarism, intrinsic and external analysis, are described for choosing the proper methodology for determining originality of scientific papers. The research leads to the stylometric analysis, a field found at the crossroad of plagiarism, originality and author identification. This stylometric analysis is done within the intrinsic plagiarism detection and is formed on the bases of a number of metrics that describe unique a writing style of a specific author. The testing platform implies using a set of research papers written by European authors and extracting the values of eight writing style metrics. A clustering is applied and the best combination of metrics is resulted. |
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| ISSN: | 1453-1305 1842-8088 |