Author:Rangata, Mapitsi R; Sefara, Tshephisho JDate:Feb 2024The amount of data online is increasing as companies generate news articles daily. These news articles contain headlines that have a level of exaggeration aimed to win the readers. In addition, these companies are competing against one another; ...Read more
Author:Mokoatle, Mpho; Coleman, Toshka; Mokilane, Paul MDate:Dec 2023The 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
Author:Mokgonyane, TB; Sefara, Tshephisho J; Manamela, MJ; Modipa, TIDate:Aug 2021The 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
Author:Ngejane, Hombakazi C; Eloff, JHP; Sefara, Tshephisho J; Marivate, VNDate:Mar 2021Chat-logs are informative digital footprints available on Social Media Platforms (SMPs). With the rise of cybercrimes targeting children, chat-logs can be used to discover and flag harmful behaviour for the attention of law enforcement units. ...Read more
Author:Dudeni-Tlhone, Nontembeko; Mutanga, O; Debba, Pravesh; Cho, Moses ADate:Aug 2023Hyperspectral 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
Author:Sefara, Tshephisho Joseph; Rangata, Mapitsi RDate:Dec 2023Most 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
Author:Sefara, Tshephisho J; Mokgonyane, TBDate:Nov 2020Speaker 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
Author:Sefara, Tshephisho J; Mokgonyane, TBDate:Aug 2021Gender 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
Author:Waldeck, Louis; Van Heerden, Quintin; Holloway, Jennifer PDate:Oct 2020Confronted by poverty, income disparities and mounting demands for basic services such as clean water, sanitation and health care, urban planners in developing countries like South Africa, face daunting challenges. This paper explores the ...Read more
Author:Sefara, Tshephisho J; Rangata, Mapitsi RDate:Oct 2023Exaggerated news titles are used to deceive news readers and spread misleading information. This paper presents a new natural language processing (NLP) technique that identifies exaggerated news titles. The technique uses Jaccard similarity ...Read more
Author:Sefara, Tshephisho J; Mokgonyane, TBDate:Mar 2021This 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
Author:Sefara, Tshephisho J; Rangata, Mapitsi RDate:Aug 2023Twitter 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
Author:Makgatho, M; Marivate, V; Sefara, Tshephisho J; Wagner, VDate:Feb 2022How 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
Author:Sefara, Tshephisho J; Zwane, SG; Gama, N; Sibisi, H; Senoamadi, PN; Marivate, VDate:Apr 2021Recent research on the development of machine translation (MT) models has resulted in state-of-the-art performance for many resourced European languages. However, there has been a little focus on applying these MT services to low-resourced ...Read more