A Scalable Extractive Text Summarisation Model for Hausa Language Documents Using K-Nearest Neighbours and Sparse Matrix Representation

GRAPH CONVOLUTIONAL NETWORK AND RECURRENT NEURAL NETWORK ENSEMBLE FOR EXTRACTIVE TEXT SUMMARISATION IN THE HAUSA LANGUAGE

Automatic Text Summarisation (ATS) is crucial for managing information overload, especially in low-r

A Comparative Analysis of K-Nearest Neighbours & Support Vector Machine for Classification of Iris African Dataset

A Comparative Analysis of K-Nearest Neighbours & Support Vector Machine for Classification of Iris African Dataset

Poster presented at the Deep Learning Indaba 2023 by Peace  Falola

Graph-based extractive text summarization method for Hausa text

Automatic text summarization is one of the most promising solutions to the ever-growing challenges o

K-Means Algorithm for Clustering Afaan Oromo Text Documents using Python Tools

With the advancement of technology and proliferation of computers in the country, the amount of Afaa

Extractive Text Summarization Using Deep Learning for Tigrigna Language

Extractive Text Summarization for Wolaytta Language Using Recurrent Neural Network