Skip to main content

Multimodal publication classifier with LLM and deep learning

Project description

pubmlp Logo

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 0.4.1) [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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pubmlp-0.4.1.tar.gz (47.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pubmlp-0.4.1-py3-none-any.whl (38.2 kB view details)

Uploaded Python 3

File details

Details for the file pubmlp-0.4.1.tar.gz.

File metadata

  • Download URL: pubmlp-0.4.1.tar.gz
  • Upload date:
  • Size: 47.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.13

File hashes

Hashes for pubmlp-0.4.1.tar.gz
Algorithm Hash digest
SHA256 d0940e76c6bab58f3f287d732794d6ba0ee60fd876e813a02899280cd3c5d707
MD5 386e1a3337ef951615f2177809364fb0
BLAKE2b-256 183f6a5e048ed4f7e7a14eab1b3106f077ad688821049fd32dbaf52c84732dc0

See more details on using hashes here.

File details

Details for the file pubmlp-0.4.1-py3-none-any.whl.

File metadata

  • Download URL: pubmlp-0.4.1-py3-none-any.whl
  • Upload date:
  • Size: 38.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.13

File hashes

Hashes for pubmlp-0.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 14e7c12811d02d677d5fa32109a204b34d6238c0a70cd45f00e861dce028cd92
MD5 5a7cc18250ebc4f89519420b091fd06e
BLAKE2b-256 e1e174702c641d9284ccd606b9a947526b05c0437ecb35076ab1eb65716f89c0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page