SWeePtex-Emb Model Experiments

Read full text
Authors: Diogo de Jesus Soares Machado, Roberto Tadeu Raittz
Cited by: 0

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