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Sentiment analysis for code-mixed low-resource languages: a systematic review of approaches, techniques, applications, challenges, and future directions

Crossref DOI link: https://doi.org/10.1007/s13278-026-01588-2

Published Online: 2026-03-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Nazir, Muhammad Kashif https://orcid.org/0000-0003-4094-4412
Bilal, Muhammad https://orcid.org/0000-0002-0915-6138
Shongwe, Sandile Charles
Funding

Funding for this research was provided by:

University of the Free State
License Information

Text and Data Mining valid from 2026-03-04

Version of Record valid from 2026-03-11
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Article History

Received: 23 September 2025

Revised: 31 January 2026

Accepted: 2 February 2026

First Online: 4 March 2026

Declarations

:

: The authors declare no competing interests.

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