Automatic profile recognition of authors on social media based on hybrid approach | Zendy

Mourad Ellouze | Zendy; Seifeddine Mechti | Zendy; Lamia Hadrich Belguith | Zendy

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Automatic profile recognition of authors on social media based on hybrid approach

Author(s) -

Mourad Ellouze,

Seifeddine Mechti,

Lamia Hadrich Belguith

Publication year - 2020

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2020.09.107

Subject(s) - computer science , profiling (computer programming) , fuzzy logic , artificial intelligence , social media , natural language processing , machine learning , world wide web , operating system

In this paper, we propose a method to discover the profile of a user on social media by detecting their gender, age, and personality traits. The stated method takes advantage of NLP techniques, lexico-semantic resources and statistical measures. These techniques have allowed us to have a more general method which isn't limited to the words founded in the training corpus and preserve the principle of relativity by taking advantage of the fuzzy logic. The previously mentioned method was implemented and evaluated using the PAN 2015 corpus (Author profiling).We obtained as a result, an F-measure value which equals to 81%. The found results are indeed interesting when compared to other works.

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