来自阿拉伯语Youtube评论的作者性别识别

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI:10.1109/SITIS.2019.00109

Jihad Zahir, Youssef Mehdi Oukaja, H. Mousannif

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引用次数: 2

摘要

在本文中，我们提出了一种基于机器学习的方法，从Youtube评论中的阿拉伯语文本中识别性别。所提出的方法处理阿拉伯方言，解决了现有方法的局限性，准确率达到92%，平均精度达到98%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Author Gender Identification from Arabic Youtube Comments

In this paper, we present a machine learning based approach to gender identification from Arabic text in Youtube comments. The proposed methodology handles dialectal Arabic, addresses the limitations of state-of-the art approaches and achieves an accuracy of 92% and an average precision of 98%.

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来源期刊

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)

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