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PyPI version Python versions License: MIT

Data extraction for systematic reviews and meta-analyses. Reads PDF and Word papers with pdfplumber and python-docx, keeps the page, section, and table cell of every value, and codes them against an Excel codebook in an interactive Shiny interface. Exports effect sizes for group, single-case, and correlation design studies. Companion to pubmlp, which handles screening.

Installation

pip install pubextractor

With optional dependencies:

pip install "pubextractor[semantic]"  # sentence-transformers for passage search

From GitHub:

pip install git+https://github.com/mshin77/pubextractor.git

Load the pubextractor Package

import pubextractor

Alternatively, Launch and Browse the Shiny App

Launch and browse the app on the local computer:

from pubextractor import run_app

run_app()

Or in a terminal: pubextractor. The app opens at http://127.0.0.1:8000; use run_app(port=8001) if that port is in use.

Getting Started

See Quick Start and Using the App for tutorials.

Citation

Metadata

Release files for pubextractor 0.1.0

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Source distribution for pubextractor 0.1.0
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Built distribution (wheel)

Table of built distributions (wheels) for pubextractor 0.1.0
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pubextractor-0.1.0-py3-none-any.whl Python 3 none any Details for pubextractor-0.1.0-py3-none-any.whl

Total release size: 466.2 kB

Release files / pubextractor-0.1.0.tar.gz

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