Mathematical Methods Applied for Authorship Attribution on the Phonological Level
| Title | Mathematical Methods Applied for Authorship Attribution on the Phonological Level |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Khomytska, Iryna, Teslyuk, Vasyl |
| Conference Name | 2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT) |
| Date Published | Sept. 2019 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-0808-7 |
| Keywords | attribution, authorial differentiation of texts, authorial text differentiation, authorship attribution, complex analysis method, composability, consonant phoneme group, Frequency conversion, Human Behavior, hypothesis method, Java, Linguistics, mathematical methods, Metrics, natural language processing, phonological level, pubcrawl, reliability, Software, speech processing, Speech recognition, statistical analysis, statistical methods, text analysis |
| Abstract | The proposed combination of statistical methods has proved efficient for authorship attribution. The complex analysis method based on the proposed combination of statistical methods has made it possible to minimize the number of phoneme groups by which the authorial differentiation of texts has been done. |
| URL | https://ieeexplore.ieee.org/document/8929859 |
| DOI | 10.1109/STC-CSIT.2019.8929859 |
| Citation Key | khomytska_mathematical_2019 |
- mathematical methods
- text analysis
- statistical methods
- statistical analysis
- Speech recognition
- speech processing
- Software
- Reliability
- pubcrawl
- phonological level
- natural language processing
- Metrics
- attribution
- Linguistics
- Java
- hypothesis method
- Human behavior
- Frequency conversion
- consonant phoneme group
- composability
- complex analysis method
- authorship attribution
- authorial text differentiation
- authorial differentiation of texts