Science Score: 44.0%
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✓CITATION.cff file
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✓codemeta.json file
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○Scientific vocabulary similarity
Low similarity (8.0%) to scientific vocabulary
Repository
Gram-Weighted Tracing for Interpretability...
Basic Info
- Host: GitHub
- Owner: JuanCalderon
- Language: Jupyter Notebook
- Default Branch: main
- Size: 3.08 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
GWTI: Gram-Weighted Tracing for Interpretability
This repository contains the full implementation of GWTI (Gram-Weighted Tracing for Interpretability), a lightweight and pre-hoc interpretability framework designed for sparse short-text NLP tasks such as tweet classification and user profiling.
🌟 Overview
GWTI combines: - q-gram tokenization - TF-IDF vectorization - Linear classifiers - A tracing mechanism to recover token-level contributions for visualization.
It provides precise, low-cost visual explanations that are particularly effective in high-dimensional, sparse input spaces.
📁 Repository Structure
experiments/— Python scripts for reproducing the experiments and figures reported in the PRL manuscript.supplementary/— Supplementary materials heatmaps, token-level visualizations, and UI snapshots used in the paperCITATION.cff— Citation metadata for properly referencing this work.README.md— This file.
📖 Publication
This code accompanies the manuscript:
“GWTI: A Pre-Hoc Framework for Visual Interpretability in Sparse Short-Text NLP Tasks”, submitted to Pattern Recognition Letters (PRL).
🔗 Citation
To cite this work, please see the CITATION.cff file or use the following BibTeX (coming soon).
📬 Contact
For questions or collaboration inquiries, please contact:
José J. Calderón
Email: jose.calderon@cimav.edu.mx
ORCID: 0000-0002-XXXX-XXXX
© 2025 José J. Calderón, Mario Graff, Eric S. Téllez. Licensed under MIT.
Owner
- Name: Juan Calderon
- Login: JuanCalderon
- Kind: user
- Repositories: 14
- Profile: https://github.com/JuanCalderon
Citation (CITATION.cff)
cff-version: 1.2.0
title: "GWTI: A Pre-Hoc Framework for Visual Interpretability in Sparse Short-Text NLP Tasks"
authors:
- family-names: Calderón
given-names: José J.
- family-names: Graff
given-names: Mario
- family-names: Téllez
given-names: Eric S.
date-released: 2025-06-01
doi: 10.1234/gwti.code
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