The Software for Authorship and Style Attribution
| Title | The Software for Authorship and Style Attribution |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Khomytska, Iryna, Teslyuk, Vasyl |
| Conference Name | 2019 IEEE 15th International Conference on the Experience of Designing and Application of CAD Systems (CADSM) |
| Date Published | March 2019 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-0053-1 |
| Keywords | attribution, authorship attribution, composability, gaussian distribution, Human Behavior, information science, Java, Java programming language, Metrics, phonostatistical structure, programming languages, pubcrawl, Software, statistical analysis, style attribution, text analysis, text transforming, transcription symbols, transcription variants, Vocabulary |
| Abstract | A new program has been developed for style and authorship attribution. Differentiation of styles by transcription symbols has proved to be efficient The novel approach involves a combination of two ways of transforming texts into their transcription variants. The java programming language makes it possible to improve efficiency of style and authorship attribution. |
| URL | https://ieeexplore.ieee.org/document/8779346 |
| DOI | 10.1109/CADSM.2019.8779346 |
| Citation Key | khomytska_software_2019 |
- programming languages
- Vocabulary
- transcription variants
- transcription symbols
- text transforming
- text analysis
- style attribution
- statistical analysis
- Software
- pubcrawl
- attribution
- phonostatistical structure
- Metrics
- Java programming language
- Java
- information science
- Human behavior
- gaussian distribution
- composability
- authorship attribution