Scalability Issues in Authorship Attribution
| Author/creator | Luyckx, Kim Author |
| Format | Electronic |
| Edition | New Edition |
| Publication Info | Bruxelles : VUB University Press Chicago : Independent Publishers Group [Distributor] |
| Description | 196 p. 09.500 x 06.750 in. |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Subjects |
| Summary | Annotation The first in-depth and systematic study of the effects of author set size, data size, and the amount of topic variation, this account examines authorship attribution: the task that aims to identify the author of a text, given a model of authorial style based on texts of known authorship. Stressing the importance of methodologyeven the seemingly insignificant decisions can drastically influence the outcome and reliability of an experimentthis analysis suggests a combined qualitative and quantitative evaluation of authorship attribution results. Scientists and scholars investigating large-scale applications of text analytics will be particularly interested in processs potential complications detailed herein. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| ISBN | 9789054878230 |
| ISBN | 9054878231 (Trade Paper) Active Record |
| Standard identifier# | 9789054878230 |
| Stock number | 00078643 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |