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Multimodal publication classifier with LLM and deep learning

Project description

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PyPI version Python versions License: MIT

Multimodal publication classifier with LLM and deep learning. Fuses transformer embeddings with tabular features through a multilayer perceptron (MLP) for human-in-the-loop screening workflows.

Installation

pip install pubmlp

With optional dependencies:

pip install pubmlp[screening]  # screening tools (openpyxl, nltk)

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 0.4.0) [Computer software]. https://github.com/mshin77/pubmlp

Reference

  • Shin, M., & McKenna, J. (in press). Exploring the research landscape on single-case design methodology using technology through text mining and large language models. Journal of Behavioral Education.

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