Detection of Cyberbullying Patterns in Low Resource Colloquial Roman Urdu Microtext using Natural Language Processing, Machine Learning, and Ensemble Techniques

Detection of Cyberbullying Patterns in Low Resource Colloquial Roman Urdu Microtext using Natural Language Processing, Machine Learning, and Ensemble Techniques

Social media platforms have become a substratum for people to enunciate their opinions and ideas across the globe. Due to anonymity preservation and freedom of expression, it is possible to humiliate individuals and groups, disregarding social etiquette online, inevitably proliferating and diversify...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Amirita Dewani, Mohsin Ali Memon, Sania Bhatti, Adel Sulaiman, Mohammed Hamdi, Hani Alshahrani, Abdullah Alghamdi, Asadullah Shaikh
Format: Artikel
Sprache:English
Veröffentlicht: MDPI AG 2023-02-01
Schriftenreihe:Applied Sciences
Schlagworte:
natural language processing
low resource Roman Urdu language
cyberbullying detection
machine learning
ensemble learning
hate speech
Online Zugang:https://www.mdpi.com/2076-3417/13/4/2062

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https://www.mdpi.com/2076-3417/13/4/2062

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