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.

Joining LDA and Word Embeddings for Covid-19 Topic Modeling on English and Arabic Data

Type de record:

paper
Créateur:
AmiMohMoh
Éditeur:
SCI
Hôte:

Visit

doi.org

Tasks

topic classificationtext classification

Similaires

Topic Modelling Swahili Using LDA and Contextualized EmbeddingsTweeting on COVID-19 pandemic in South Africa: LDA-based topic modelling approachCode-switching Language Modeling With Bilingual Word Embeddings: A Case Study for Egyptian Arabic-EnglishDiaLex: A Benchmark for Evaluating Multidialectal Arabic Word EmbeddingsEvaluation of Word and Sub-word Embeddings for isiZulu on Semantic Relatedness and Word Sense Disambiguation TasksBenchmark Dataset for DiaLex, A Benchmark for Evaluating Multidialectal Arabic Word Embeddings

Topic Modelling Swahili Using LDA and Contextualized Embeddings

Tweeting on COVID-19 pandemic in South Africa: LDA-based topic modelling approach

The advent of COVID-19 has disrupted all facets of human lives. As of September 2020, there is no ef

Code-switching Language Modeling With Bilingual Word Embeddings: A Case Study for Egyptian Arabic-English

Code-switching (CS) is a widespread phenomenon among bilingual and multilingual societies. The lack

DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings

Word embeddings are a core component of modern natural language processing systems, making the ability to thoroughly evaluate them a vital task. We describe DiaLex, a benchmark for intrinsic evaluation of dialectal Arabic word embedding. DiaLex covers five importan

Evaluation of Word and Sub-word Embeddings for isiZulu on Semantic Relatedness and Word Sense Disambiguation Tasks

Benchmark Dataset for DiaLex, A Benchmark for Evaluating Multidialectal Arabic Word Embeddings

Word embeddings are a core component of modern natural language processing systems, making the ability to thoroughly evaluate them a vital task. We describe DiaLex, a benchmark for intrinsic evaluation of dialectal Arabic word embeddings. DiaLex covers five importa