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Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 07:01

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

Published:Nov 21, 2025 15:14
1 min read
ArXiv

Analysis

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.
Reference

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Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 07:24

Classification of Hope in Textual Data using Transformer-Based Models

Published:Nov 17, 2025 02:07
1 min read
ArXiv

Analysis

This article likely explores the application of transformer-based models (like BERT, GPT, etc.) to identify and classify instances of 'hope' within textual data. The focus is on sentiment analysis and potentially understanding the nuances of hopeful language. The use of ArXiv suggests this is a preliminary research paper, possibly detailing the methodology, dataset, and initial results of the study.
Reference

“The article's abstract and introduction would provide the most relevant quotes. These would likely define 'hope' in the context of the study and explain the chosen transformer model(s).”

PermalinkArXiv