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.

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

Hernandez Farias Delia Irazu;
2018-01-01

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.
2018
12
4
1
1
https://onlinelibrary.wiley.com/doi/abs/10.1111/lnc3.12275
author profiling, irony detection, Arabic language
Rosso P.; Rangel F.; Hernandez Farias Delia Irazu; Cagnina L.; Zaghouani W.; Charfi A.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1837180
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