Name
Abstract | ||
|---|---|---|
Author identification is a hot topic, especially in the Internet age. Following our previous work in which we proposed a novel approach to this problem, based on relational representations that take into account the structure of sentences, here we present a tool that computes and visualizes a numerical and graphical characterization of the authors/texts based on several linguistic features. This tool, that extends a previous language analysis tool, is the ideal complement to the author identification technique, that is based on a clustering procedure whose outcomes (i.e., the authors' models) are not human-readable. Both approaches are unsupervised, which allows them to tackle problems to which other state-of-the-art systems are not applicable. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-41938-1_14 | Communications in Computer and Information Science |
Field | DocType | Volume |
Language analysis,Information retrieval,Computer science,Cluster analysis,The Internet | Conference | 612 |
ISSN | Citations | PageRank |
1865-0929 | 0 | 0.34 |
References | Authors | |
8 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefano Ferilli | 1 | 722 | 101.11 |
| Domenico Redavid | 2 | 51 | 15.17 |
| Floriana Esposito | 3 | 2434 | 277.96 |