Gender identification for Egyptian Arabic dialect in twitter using deep learning models

Gender identification for Egyptian Arabic dialect in twitter using deep learning models

Although the number of Arabic language writers in social media is increasing, the research work targeting Author Profiling (AP) is at the initial development phase. This paper investigates Gender Identification (GI) (male or female) of authors posting Egyptian dialect tweets using Neural Networks (N...

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Bibliographic Details
Main Authors: Shereen ElSayed, Mona Farouk
Format: Article
Language:English
Published: Elsevier 2020-09-01
Series:Egyptian Informatics Journal
Subjects:
Gender identification
Egyptian Arabic text classification
Deep learning
Natural language processing
Social Media analysis and mining
Online Access:http://www.sciencedirect.com/science/article/pii/S1110866520301158

Internet

http://www.sciencedirect.com/science/article/pii/S1110866520301158

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