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.

Knowledge extraction and multi-label classification of Algerian cultural heritage monuments using faceted taxonomy

Créateur:
TouKam
Éditeur:
Elsevier BV
Hôte:

Visit

doi.org

Languages

Arabic, Algerian Spoken

Licenses

https://www.elsevier.com/tdm/userlicense/1.0/https://www.elsevier.com/legal/tdmrep-licensehttps://doi.org/10.15223/policy-017https://doi.org/10.15223/policy-037https://doi.org/10.15223/policy-012https://doi.org/10.15223/policy-029https://doi.org/10.15223/policy-004

Similaires

YeshimebetBayu/Amharic-multi-label-emotion-classificationBuilding and evaluation of an Algerian Cultural Heritage dataset using convolutional neural networksAFAAN OROMO MULTI LABEL NEWS TEXT CLASSIFICATION USING DEEP LEARNING APPROACHMulti-label Emotion Classification on Social Media Comments using Deep learningAUTOMATIC AFAAN OROMO MULTI LABEL NEWS TEXT CLASSIFICATION USING NEURAL NETWORK APPROACHAUTOMATIC MULTI LABEL CLASSIFICATION FOR AFAAN OROMO DOCUMENT USING DEEP LEARNING APPROACH

YeshimebetBayu/Amharic-multi-label-emotion-classification

# Amharic-multi-label-emotion-classification # Multi-Emotion Classification for Amharic Text This r

Building and evaluation of an Algerian Cultural Heritage dataset using convolutional neural networks

AFAAN OROMO MULTI LABEL NEWS TEXT CLASSIFICATION USING DEEP LEARNING APPROACH

The development of the internet has made Afaan Oromo's writings widely available both offline and on

Multi-label Emotion Classification on Social Media Comments using Deep learning

Abstract Social media is an online platform that people use to develop social networks or

AUTOMATIC AFAAN OROMO MULTI LABEL NEWS TEXT CLASSIFICATION USING NEURAL NETWORK APPROACH

Major Advisor: - GetachewMamo(PHD) The classification of natural language texts has gained a growin

AUTOMATIC MULTI LABEL CLASSIFICATION FOR AFAAN OROMO DOCUMENT USING DEEP LEARNING APPROACH

Advisor: Mr. Kasahun Abdisa (Phd candidate) Document classification is a technique which classifies