TriLex: A Framework for Multilingual Sentiment Analysis in Low-Resource South African Languages

This article introduces TriLex, a framework designed for sentiment analysis in South African languages, which are often low-resource. The focus on multilingual capabilities suggests an attempt to leverage cross-lingual transfer learning to overcome data scarcity. The use of the ArXiv source indicates this is likely a research paper, detailing the framework's architecture, methodology, and potentially, experimental results. The core challenge addressed is the lack of labeled data for sentiment analysis in these languages.