Replication data and code for: Intrinsic Thematic Separability in Sentence-Transformer Embeddings

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

Read full text
Authors: Miguel Pavón
DOI: 10.5281/zenodo.18782435
Cited by: 0

Abstract

Corpora, pre-computed embeddings, analysis scripts and results for the paper "Intrinsic Thematic Separability in Sentence-Transformer Embeddings: A Controlled Geometric Study from Synthetic to Real-World Text"

Fields of Study & Subjects

Topic Modeling Sentiment Analysis and Opinion Mining Computational and Text Analysis Methods

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
26 February 2026
Language
EN
Document type
Dataset