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Improving short text classification through global augmentation methods
Marivate, V
;
Sefara, Tshephisho J
(
2020-08
)
A bibliometric method for analysis of systems engineering research
Oosthuizen, Rudolph
;
Pretorius, L
(
International Council on Systems Engineering (INCOSE)
,
2020-07
)
Semi-supervised probabilistics approach for normalising informal short text messages
Modupe, A
;
Celik, T
;
Marivate, Vukosi N
;
Diale, Melvin
(
IEEE
,
2017-03
)
Investigating an approach for low resource language dataset creation, curation and classification: Setswana and Sepedi
Marivate, Vukosi N
;
Sefara, Tshephisho J
;
Chabalala, V
;
Makhaya, K
;
Mokgonyane, T
;
Mokoena, R
;
Modupe, A
(
2020-05
)
Using character valence in computer generated music to produce variation aligned to a storyline
Featherstone, Coral
;
van der Poel, E
(
ACM Digital Library
,
2015-07
)
Implementing bibliometric analysis and topic modelling to inform curriculum development for engineering management
Oosthuizen, Rudolph
;
Grobbelaar, S
(
2021-10
)
A toolkit for text extraction and analysis for natural language processing tasks
Sefara, Tshephisho J
;
Mbooi, Mahlatse S
;
Mashile, Katlego J
;
Rambuda, Thompho
;
Rangata, Mapitsi R
(
2022-08
)
Domain-specific sentiment analysis of tweets using machine learning methods
Sefara, Tshephisho Joseph
;
Rangata, Mapitsi R
(
2023-12
)
Topic classification of tweets in the broadcasting domain using machine learning methods
Sefara, Tshephisho J
;
Rangata, Mapitsi R
(
2023-08
)
A natural language processing technique to identify exaggerated news titles
Sefara, Tshephisho J
;
Rangata, Mapitsi R
(
2023-10
)
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