Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Koena Ronny Mabokela"'
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 11, p 160 (2024)
Sentiment analysis is a crucial tool for measuring public opinion and understanding human communication across digital social media platforms. However, due to linguistic complexities and limited data or computational resources, it is under-represente
Externí odkaz:
https://doaj.org/article/78b7ca0981d94604a9ed44b1e63c1c9d
Publikováno v:
IEEE Access, Vol 11, Pp 15996-16020 (2023)
Sentiment analysis automatically evaluates people’s opinions of products or services. It is an emerging research area with promising advancements in high-resource languages such as Indo-European languages (e.g. English). However, the same cannot be
Externí odkaz:
https://doaj.org/article/502546672bca4367888a1d7c9a813840
Autor:
Koena Ronny Mabokela, Tim Schlippe
Publikováno v:
Artificial Intelligence Research ISBN: 9783031223204
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e0b77314a0b075282a088dfdf296bba
https://doi.org/10.1007/978-3-031-22321-1_21
https://doi.org/10.1007/978-3-031-22321-1_21
Autor:
Koena Ronny Mabokela
Publikováno v:
2019 International Multidisciplinary Information Technology and Engineering Conference (IMITEC).
This paper presents an integration of multilingual speech recognition into language identification (LID) for code-switched speech using phonotatic features as language information. A multilingual speech recognition system converts the spoken utteranc
Publikováno v:
SpeD
Automatic language identification (LID) is a specialized area of Human Language Technology in which the language(s) used in spoken utterances are identified and correctly classified given a predetermined number of targeted languages. Currently, most