Detecting Arabic sexual harassment using bidirectional long-short-term memory and a temporal convolutional network

Detecting Arabic sexual harassment using bidirectional long-short-term memory and a temporal convolutional network

Due to advances in technology, social media has become the most popular medium for spreading news. Many messages are published on social media sites such as Facebook, Twitter, Instagram, etc. Social media platforms also provide opportunities to express opinions and social phenomena such as hate, off...

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Bibliographic Details
Main Authors: Noor Amer Hamzah, Ban N. Dhannoon
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Egyptian Informatics Journal
Subjects:
Sexual harassments
Arabic text classification Sentiment Analysis
Natural Language Processing
Word embedding
Deep learning
XGBoost
Online Access:http://www.sciencedirect.com/science/article/pii/S1110866523000300

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http://www.sciencedirect.com/science/article/pii/S1110866523000300

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