Search Results for author: Isa Inuwa-Dutse

Found 7 papers, 1 papers with code

Self-harm: detection and support on Twitter

no code implementations1 Apr 2021 Muhammad Abubakar Alhassan, Isa Inuwa-Dutse, Bello Shehu Bello, Diane Pennington

Since the advent of online social media platforms such as Twitter and Facebook, useful health-related studies have been conducted using the information posted by online participants.

The first large scale collection of diverse Hausa language datasets

1 code implementation13 Feb 2021 Isa Inuwa-Dutse

Hausa language belongs to the Afroasiatic phylum, and with more first-language speakers than any other sub-Saharan African language.

Machine Translation

A multilevel clustering technique for community detection

no code implementations16 Jan 2021 Isa Inuwa-Dutse, Mark Liptrott, Yannis Korkontzelos

Community detection is crucial for various reasons, such as serving as a functional unit of a network that captures local interactions among nodes.

Community Detection

Towards Combating Pandemic-related Misinformation in Social Media

no code implementations28 Nov 2020 Isa Inuwa-Dutse

Conventional preventive measures during pandemic include social distancing and lockdown.

Misinformation

Migration and Refugee Crisis: a Critical Analysis of Online Public Perception

no code implementations20 Jul 2020 Isa Inuwa-Dutse, Mark Liptrott, Ioannis Korkontzelos

The migration rate and the level of resentments towards migrants are an important issue in modern civilisation.

Social and Information Networks Computers and Society

A curated collection of COVID-19 online datasets

no code implementations19 Jul 2020 Isa Inuwa-Dutse, Ioannis Korkontzelos

A case in point is the various myths and disinformation associated with the Covid-19, which, if left unchecked, could lead to a catastrophic outcome and hamper the fight against the virus.

Misinformation

Introduction to intelligent computing unit 1

no code implementations15 Nov 2017 Isa Inuwa-Dutse

This brief note highlights some basic concepts required toward understanding the evolution of machine learning and deep learning models.

BIG-bench Machine Learning

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