Multimodal publication classifier with LLM and deep learning. Fuses transformer embeddings from Hugging Face with tabular features through a multilayer perceptron (MLP) on PyTorch for human-in-the-loop screening. Screen by matched rules, by semantic similarity through sentence-transformers, by the classifier with active learning, or by a language model as a second rater. Read exports in every format bibliometrix accepts, extract page-anchored evidence with pdfplumber, and report stopping criteria and automation use for PRISMA.
Installation
pip install pubmlp
With optional dependencies:
pip install "pubmlp[screening]" # regex and semantic screening, stratified sampling
pip install "pubmlp[fulltext]" # PDF reading with page-anchored evidence
pip install "pubmlp[benchmark]" # public benchmark datasets
From GitHub:
pip install git+https://github.com/mshin77/pubmlp.git
Getting Started
See Quick Start and Screening Workflow for tutorials.
Citation
- Shin, M. (2026). pubmlp: Multimodal publication classifier with LLM and deep learning (Python package version 0.6.1) [Computer software]. https://github.com/mshin77/pubmlp
Reference
- Shin, M., & McKenna, J. (2026). Exploring the research landscape on single-case design methodology using technology through text mining and large language models. Journal of Behavioral Education. https://doi.org/10.1007/s10864-026-09630-1
1 maintainer
Metadata
1 maintainer
Release files for pubmlp 0.6.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| pubmlp-0.6.2.tar.gz | 62.2 kB | Without provenance | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pubmlp-0.6.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 131.2 kB
Release files / pubmlp-0.6.2.tar.gz
| Download URL | pubmlp-0.6.2.tar.gz |
|---|---|
| Size | 62.2 kB |
| Tags | Source |
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Release files / pubmlp-0.6.2-py3-none-any.whl
| Download URL | pubmlp-0.6.2-py3-none-any.whl |
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| Size | 69.0 kB |
| Tags | Python 3 |
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