TY - JOUR
T1 - A survey on author profiling, deception, and irony detection for the Arabic language
AU - Rosso, Paolo
AU - Rangel, Francisco
AU - Farías, Irazu Hernández
AU - Cagnina, Leticia
AU - Zaghouani, Wajdi
AU - Charfi, Anis
N1 - Publisher Copyright:
© 2018 John Wiley & Sons Ltd
PY - 2018/4
Y1 - 2018/4
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85045388966&partnerID=8YFLogxK
U2 - 10.1111/lnc3.12275
DO - 10.1111/lnc3.12275
M3 - Article
AN - SCOPUS:85045388966
SN - 1749-818X
VL - 12
JO - Linguistics and Language Compass
JF - Linguistics and Language Compass
IS - 4
M1 - e12275
ER -