Large Language Models for Sentiment Analysis to Detect Social Challenges: A Use Case with South African Languages

This article focuses on the application of Large Language Models (LLMs) for sentiment analysis, specifically to identify social challenges. The use case involves South African languages, suggesting a focus on under-resourced languages and potentially addressing issues of social importance. The source being ArXiv indicates it's a research paper, likely detailing the methodology, results, and implications of using LLMs in this context.

• •Applies LLMs to sentiment analysis.
• •Focuses on detecting social challenges.
• •Uses South African languages as a case study.
• •Likely a research paper from ArXiv.