Výsledky vyhledávání

Report

Autor: Prasad, T., Liebovitch, L. S., Wild, M., West, H., Coleman, P. T.

We used data from LexisNexis to determine the words in news media that best classifies countries as higher or lower peace. We found that higher peace news is characterized by themes of finance, daily actitivities, and health and that lower peace news

Externí odkaz: http://arxiv.org/abs/2410.03764

Zobrazit plný text záznamu

Report

Classifying Peace in Global Media Using RAG and Intergroup Reciprocity

Autor: Lian, K., Liebovitch, L. S., Wild, M., West, H., Coleman, P. T., Chen, F., Kimani, E., Sieck, K.

This paper presents a novel approach to identifying insights of peace in global media using a Retrieval Augmented Generation (RAG) model and concepts of Positive and Negative Intergroup Reciprocity (PIR/NIR). By refining the definitions of PIR and NI

Externí odkaz: http://arxiv.org/abs/2410.13865

Zobrazit plný text záznamu

Report

Machine Learning Classification of Peaceful Countries: A Comparative Analysis and Dataset Optimization

Autor: Lian, K., Liebovitch, L. S., Wild, M., West, H., Coleman, P. T., Chen, F., Kimani, E., Sieck, K.

This paper presents a machine learning approach to classify countries as peaceful or non-peaceful using linguistic patterns extracted from global media articles. We employ vector embeddings and cosine similarity to develop a supervised classification

Externí odkaz: http://arxiv.org/abs/2410.03749

Zobrazit plný text záznamu