Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

TunTap: A Tunisian Dataset for Topic and Polarity Extraction in Social Media

Type de record:

dataset
Créateur:
MohRia
Éditeur:
Springer International Publishing
Hôte:

Visit

doi.org

Tasks

sentiment analysistext classificationtopic classification

Licenses

https://www.springernature.com/gp/researchers/text-and-data-mininghttps://www.springernature.com/gp/researchers/text-and-data-mining

Similaires

TunVeCTM: A Topic Modeling Approach of Tunisian Dialect on Social MediaMulti-Expert Topic Modeling for Code-Switched Dialectal Arabic: A Dynamic Routing Approach to Tunisian Social Media Analysismahmoudsegni/Social-Media-Sentiment-Analysis-for-Tunisian-ArabiziHoussem96/Social-Media-Sentiment-Analysis-for-Tunisian-Arabizinegeek/Social-Media-Sentiment-Analysis-for-Tunisian-ArabiziINTISSAR1998/Social-Media-Sentiment-Analysis-for-Tunisian-Arabizi

TunVeCTM: A Topic Modeling Approach of Tunisian Dialect on Social Media

Multi-Expert Topic Modeling for Code-Switched Dialectal Arabic: A Dynamic Routing Approach to Tunisian Social Media Analysis

mahmoudsegni/Social-Media-Sentiment-Analysis-for-Tunisian-Arabizi

On social media, Arabic speakers tend to express themselves in their own local dialect. To do so, Tu

Houssem96/Social-Media-Sentiment-Analysis-for-Tunisian-Arabizi

# Social-Media-Sentiment-Analysis-for-Tunisian-Arabizi It includes a starter python notebook to bui

negeek/Social-Media-Sentiment-Analysis-for-Tunisian-Arabizi

# Social-Media-Sentiment-Analysis-for-Tunisian-Arabizi This is a competition hosted on zindi by A14D

INTISSAR1998/Social-Media-Sentiment-Analysis-for-Tunisian-Arabizi

# Social-Media-Sentiment-Analysis-for-Tunisian-Arabizi On social media, Arabic speakers tend to expr