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.

dotun-ogundare/topic-modelling-legal-documents

Domaine:

natural language processing
Créateur:
dot
Hôte:
This contains the source code of Latent Dirichlet Allocation, used to produce topic modelling of topic clusters from corpus of legal texts generated under 4 topics within Nigeria context– Employment Contract, Election Petition, Deeds, and Articles of Incorporation. The algorithm is implemented in python programming language

Visit

github.com

Tasks

text classificationtopic classification

Similaires

Legal documents, Copticnifemi-ogundare/AyoGameSisonkeBiotik-Africa/multilingual-topic-modelling-wikidatadotun-code-god/SAFE-NIGERIATopic Modelling Swahili Using LDA and Contextualized EmbeddingsRisk Detection in Algerian Arabic Legal Documents Using Machine-Learning Algorithms

Legal documents, Coptic

Abstract Coptic, the written norm of the native language of Egypt from ca. 300 ce until ca. 1300 ce

nifemi-ogundare/AyoGame

One of my first c++ projects, done a very log time ago. simulates a popular West African game called

SisonkeBiotik-Africa/multilingual-topic-modelling-wikidata

An algorithm for language-independent LDA-based multilingual topic modelling based on Spacy and Wiki

dotun-code-god/SAFE-NIGERIA

SAFE-NIGERIA is a national-scale flood intelligence platform designed to provide real-time monitorin

Topic Modelling Swahili Using LDA and Contextualized Embeddings

Risk Detection in Algerian Arabic Legal Documents Using Machine-Learning Algorithms