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Linguistic Divergence in the Saudi Digital Sphere: Assessing NLP Approaches to Lexical Patterns on TikTok and Public Attitudes on X

Domaine:

natural language processing

Type de record:

dataset
Créateur:
Ala
Éditeur:
Zenodo
Hôte:avatar

This dataset accompanies a study of English–Arabic code-mixing in Saudi digital discourse on TikTok and X. It includes cleaned TikTok comment data, lexical classification and code-mixing analysis outputs, English and Arabicized-English word lists used in the analysis, automated sentiment-analysis results for X comments, manual sentiment classifications, and the Python code used for data cleaning.

Tasks

sentiment analysiscode switchingtext classification

Languages

Ndasa

Tags

code-mixing, Arabic-English mixing, Saudi Arabia, TikTok, social media linguistics, sentiment analysis, digital discourse

Licenses

info:eu-repo/semantics/restrictedAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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