Authorship and Time Attribution of Arabic Texts Using JGAAP
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F18%3A10365864" target="_blank" >RIV/00216208:11210/18:10365864 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-67056-0_16" target="_blank" >http://dx.doi.org/10.1007/978-3-319-67056-0_16</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-67056-0_16" target="_blank" >10.1007/978-3-319-67056-0_16</a>
Alternative languages
Result language
angličtina
Original language name
Authorship and Time Attribution of Arabic Texts Using JGAAP
Original language description
One basic task in Natural Language processing is text classification, such as sorting documents by their content. A less well-known variant on this task is classifying documents by inferred metadata, such as the document's (inferred) language, date of composition or authorship. Authorship attribution is a well-studied problem, but most of the work done has been in major European languages such as English. [Notable exceptions who have studied Arabic, in particular, include. We present a study selected from a new corpus (CLAUDia) containing nearly a half-billion words of Arabic text using a standard authorship analysis tool (JGAAP) to study the effects of author, genre, and time of composition on writing style and by extension on classification. We have selected a subcorpus balanced to permit comparisons between genres as well as between time periods to see how best-performing methods change with genre and time. We also provide an analysis of a larger variety of different feature sets than has previously been done for Arabic.
Czech name
—
Czech description
—
Classification
Type
C - Chapter in a specialist book
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA13-28220S" target="_blank" >GA13-28220S: Structure of culture: Arabic and Islamic culture in prism of corpus linguistics</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Intelligent Natural Language Processing: Trends and Applications
ISBN
978-3-319-67056-0
Number of pages of the result
25
Pages from-to
325-349
Number of pages of the book
776
Publisher name
Springer
Place of publication
Cham
UT code for WoS chapter
—