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

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-0.2.7.tar.gz (41.4 kB view details)

Uploaded Source

Built Distribution

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

pubmlp-0.2.7-py3-none-any.whl (33.7 kB view details)

Uploaded Python 3

File details

Details for the file pubmlp-0.2.7.tar.gz.

File metadata

  • Download URL: pubmlp-0.2.7.tar.gz
  • Upload date:
  • Size: 41.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.9

File hashes

Hashes for pubmlp-0.2.7.tar.gz
Algorithm Hash digest
SHA256 cd30bcfa11495775002dc48704fbec8bb9bf12f3010de936e42f9f387a828bf9
MD5 398825096ec24c6abad988b9b6aa15e3
BLAKE2b-256 cacbe7d354e3240e4eaee4a21acafc10de0b2342e43e1bb387262cb810ff7015

See more details on using hashes here.

File details

Details for the file pubmlp-0.2.7-py3-none-any.whl.

File metadata

  • Download URL: pubmlp-0.2.7-py3-none-any.whl
  • Upload date:
  • Size: 33.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.9

File hashes

Hashes for pubmlp-0.2.7-py3-none-any.whl
Algorithm Hash digest
SHA256 a9f44d485caeee893031afacfeed2bc31ab516e6f3d5d98eae7284f16653cbc9
MD5 e1a94cef68357bd537a0e6d0220297b5
BLAKE2b-256 39d8a1bde2b2985d3d4b2b62714fffff3954d6b78f25de798aff7ca8c095db11

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