A survey on author profiling, deception, and irony detection for the Arabic language

Paolo Rosso; Francisco Rangel; Irazu Hernández Farías; Leticia Cagnina; Wajdi Zaghouani; Anis Charfi

doi:10.1111/lnc3.12275

A survey on author profiling, deception, and irony detection for the Arabic language

Paolo Rosso
, Francisco Rangel
, Irazu Hernández Farías
, Leticia Cagnina
, Wajdi Zaghouani^*
, Anis Charfi

^*Corresponding author for this work

HBKU College of Humanities and Social Science

Polytechnic University of Valencia
Instituto Nacional de Astrofisica Optica y Electronica
Universidad Nacional de San Luis
Carnegie Mellon University in Qatar

Research output: Contribution to journal › Article › peer-review

45 Citations (Scopus)

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.

Original language	English
Article number	e12275
Journal	Linguistics and Language Compass
Volume	12
Issue number	4
DOIs	https://doi.org/10.1111/lnc3.12275
Publication status	Published - 11 Apr 2018

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10.1111/lnc3.12275

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A survey on author profiling, deception, and irony detection for the Arabic language

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