Paper Info
Title
A Survey On Author Profiling, Deception, And Irony Detection For The Arabic Language
Abstract
The possibility of knowing people traits on the basis of what they write is a field of growing interest named author profiling. To infer a user's gender, age, native language, language variety, or even when the user lies, simply by analyzing her texts, opens a wide range of possibilities from the point of view of security. In this paper, we review the state of the art about some of the main author profiling problems, as well as deception and irony detection, especially focusing on the Arabic language.
Year
DOI
Venue
2018
10.1111/lnc3.12275
LANGUAGE AND LINGUISTICS COMPASS
Field
DocType
Volume
Arabic,Deception,Computer science,Profiling (computer programming),Irony detection,Artificial intelligence,Natural language processing,Linguistics
Journal
12
Issue
ISSN
Citations 
4
1749-818X
2
PageRank 
References 
Authors
0.42
39
6
Name
Order
Citations
PageRank
paolo rosso11831188.74
Francisco M. Rangel Pardo29716.73
Irazú Hernandez-Farias320.42
Leticia C. Cagnina49713.55
Wajdi Zaghouani519721.27
Anis Charfi666348.32