Luela Prifti

Uncovering Latent Scientific Structures in Albanian Texts Using Transformer-Based Clustering

This study analyzes the semantic structure of an Albanian corpus comprising scientific texts with 11.5 million words and approximately 74,500 paragraphs. It aims to cluster the documents according to semantic similarity and uncover thematic structures. The proposed methodology in...