P-Leader Multifractal Analysis for Text Type Identification
| Title | P-Leader Multifractal Analysis for Text Type Identification |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Leonarduzzi, R., Abry, P., Jaffard, S., Wendt, H., Gournay, L., Kyriacopoulou, T., Martineau, C., Martinez, C. |
| Conference Name | 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
| ISBN Number | 978-1-5090-4117-6 |
| Keywords | corpus analysis, Estimation, Fractals, Human Behavior, literature, Metrics, Multifractal analysis, novels, P-leader multifractal analysis, p-leader multifractal formalism, p-leaders, pubcrawl, stylometry, text analysis, text type identification, Time series analysis, Tools, wavelet analysis, wavelet transforms |
| Abstract | Among many research efforts devoted to automated art investigations, the problem of quantification of literary style remains current. Meanwhile, linguists and computer scientists have tried to sort out texts according to their types or authors. We use the recently-introduced p-leader multifractal formalism to analyze a corpus of novels written for adults and young adults, with the goal of assessing if a difference in style can be found. Our results agree with the interpretation that novels written for young adults largely follow conventions of the genre, whereas novels written for adults are less homogeneous. |
| URL | https://ieeexplore.ieee.org/document/7953040 |
| DOI | 10.1109/ICASSP.2017.7953040 |
| Citation Key | leonarduzzi_p-leader_2017 |