Browsing Conference Publications by Impact Area "Data Science"

Now showing items 1-13 of 13

A comparative study of over-sampling techniques as applied to seismic events

Author: Mokoatle, Mpho ; Coleman, Toshka ; Mokilane, Paul M Date: Dec 2023 The likelihood that an earthquake will occur in a specific location, within a specific time frame, and with ground motion intensity greater than a specific threshold is known as a seismic hazard. Predicting these types of hazards is crucial ... Read more
A cross-platform interface for automatic speaker identification and verification

Author: Mokgonyane, TB ; Sefara, Tshephisho J ; Manamela, MJ ; Modipa, TI Date: Aug 2021 The task of automatically identifying and/or verifying the identity of a speaker from a recording of a speech sample, known as automatic speaker recognition, has been studied for many years and automatic speaker recognition technologies have ... Read more
Distinguishing tree species from in situ hyperspectral and temporal measurements through ensemble statistical learning

Author: Dudeni-Tlhone, Nontembeko ; Mutanga, O ; Debba, Pravesh ; Cho, Moses A Date: Aug 2023 Hyperspectral sensors capture and compute spectral reflectance of objects over many wavelength bands, resulting in a high-dimensional space with enough information to differentiate between spectrally similar objects. Due to the curse of ... Read more
Domain-specific sentiment analysis of tweets using machine learning methods

Author: Sefara, Tshephisho Joseph ; Rangata, Mapitsi R Date: Dec 2023 Most general sentiment analysers degrade quality when tested on Tweets in the broadcast domain. This domain covers both radio and television broadcast. This paper proposes domain-specific data in the broadcast domain. Furthermore, it proposes ... Read more
Emotional speaker recognition based on machine and deep learning

Author: Sefara, Tshephisho J ; Mokgonyane, TB Date: Nov 2020 Speaker recognition is a method which recognise a speaker from characteristics of a voice. Speaker recognition technologies have been widely used in many domains. Most speaker recognition systems have been trained on normal clean recordings, ... Read more
Gender identification in Sepedi speech corpus

Author: Sefara, Tshephisho J ; Mokgonyane, TB Date: Aug 2021 Gender identification is the task of identifying the gender of the speaker from the audio signal. Most gender identification systems are developed using datasets belonging to well-resourced languages. There has been little focus on creating ... Read more
Practical approach on implementation of Wordnets for South African languages

Author: Sefara, Tshephisho J ; Mokgonyane, TB Date: Mar 2021 This paper proposes the implementation of WordNets for five South African languages, namely, Sepedi, Setswana, Tshivenda, isiZulu and isiXhosa to be added to open multilingual WordNets (OMW) on natural language toolkit (NLTK). The African ... Read more
A spatial model with vaccinations for COVID-19 in South Africa

Author: Dresselhaus, C ; Fabris-Rotelli, I ; Manjoo-Docrat, R ; Brettenny, W ; Holloway, Jennifer P ; Abdelatif, N ; Thiede, R ; Debba, Pravesh ; Dudeni-Tlhone, Nontembeko Date: Dec 2023 Since the emergence of the novel COVID-19 virus pandemic in December 2019, numerous mathematical models were published to assess the transmission dynamics of the disease, predict its future course, and evaluate the impact of different control ... Read more
A spatial SEIR model for COVID-19 in South Africa

Author: Fabris-Rotelli, I ; Holloway, Jennifer P ; Kimmie, Z ; Archibald, S ; Debba, Pravesh ; Manjoo-Docrat, R ; Le Roux, Alize ; Dudeni-Tlhone, Nontembeko ; Van Rensburg, CJ ; Thiede, R Date: Nov 2022 The virus SARS-CoV-2 has resulted in numerous modelling approaches arising rapidly to understand the spread of the disease COVID-19 and to plan for future interventions. Herein, we present an SEIR model with a spatial spread component as well ... Read more
Text summarisation for low-resourced languages: A review

Author: Edwards, Gareth R ; Sefara, Tshephisho J Date: Apr 2024 Text summarisation is becoming increasingly important for humans to more quickly understand and analyse documents with large amounts of text. In this paper, we review and discuss approaches and methods used in the development of text summarisation ... Read more
A toolkit for text extraction and analysis for natural language processing tasks

Author: Sefara, Tshephisho J ; Mbooi, Mahlatse S ; Mashile, Katlego J ; Rambuda, Thompho ; Rangata, Mapitsi R Date: Aug 2022 Text extraction is an important part of natural language processing (NLP) tasks. Most NLP tasks like text classification, machine translation, text-to-speech, text-based language identification, text summarization, and named-entity recognition ... Read more
Topic classification of tweets in the broadcasting domain using machine learning methods

Author: Sefara, Tshephisho J ; Rangata, Mapitsi R Date: Aug 2023 Twitter is one of the microblogging sites with millions of daily users. Broadcast companies use Twitter to share short messages to engage or share opinions about a particular topic or product. With a large number of conversations available ... Read more
Training cross-lingual embeddings for Setswana and Sepedi

Author: Makgatho, M ; Marivate, V ; Sefara, Tshephisho J ; Wagner, V Date: Feb 2022 How can we transfer semantic information between two low-resourced African languages? With one language having more resources than the other? The problem is that African languages still lag in the advances of Natural Language Processing ... Read more

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Browsing Conference Publications by Impact Area "Data Science"

Browsing Conference Publications by Impact Area "Data Science"

Browse

All of ResearchSpace

This Collection

Quick Links

Legislation and compliance

General Enquiries

Social Connect