SWeePtex-Emb Model Experiments
Abstract
This repository contains the complete research implementation for SWeePtex-Emb models, a text embedding framework that utilizes the SWeeP transformation. The project demonstrates the approach using DBpedia data and includes the full experimental pipeline with model creation, evaluation using the Massive Text Embedding Benchmark (MTEB), result analysis, and visualization tools. The implementation provides all source code, configuration files, experimental datasets, evaluation results, and formatted outputs.
Fields of Study & Subjects
Topic Modeling
Advanced Graph Neural Networks
Sentiment Analysis and Opinion Mining
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 28 January 2026