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Scripts and tools used for the paper 'What Do We Mean by “Interaction”? An Analysis of 35 Years of CHI', DOI: 10.1145/3325285

Python 0.18% HTML 99.82%

tochi-interaction's Introduction

Python tools for What Do We Mean by “Interaction”? An Analysis of 35 Years of CHI

This repo contains the scripts to clean text from CHI papers (from PDF extraction); and to extract modifiers about interaction. The repo does not contain the actual data itself, why you need to implement get_proceedings in proceedings.py, such that it returns the raw texts from the papers you want to analyze.

Developed for Python 2.7; install required packages using pip install -r requirements.txt

cleantext/

Tools for turning extracted text from CHI PDFs into cleaned strings to perform analysis. The tools remove ill-formed OCR, lexical optimizations, and remove headers, author info and other meta data from strings.

See cleantext/cleantext.py for how to clean your own extracted CHI PDFs

Run tests:
python -m cleantext.test

modifiers/

Extracting 'interaction' modifiers. Implement get_proceedings in proceedings.py first.

Run it:
python -m modifiers.noun_phrases

Citation:

@article{Hornbaek:2019:WMX:3341168.3325285,
 author = {Hornb{\ae}k, Kasper and Mottelson, Aske and Knibbe, Jarrod and Vogel, Daniel},
 title = {What Do We Mean by ``Interaction''? An Analysis of 35 Years of CHI},
 journal = {ACM Trans. Comput.-Hum. Interact.},
 issue_date = {July 2019},
 volume = {26},
 number = {4},
 month = jul,
 year = {2019},
 issn = {1073-0516},
 pages = {27:1--27:30},
 articleno = {27},
 numpages = {30},
 url = {http://doi.acm.org/10.1145/3325285},
 doi = {10.1145/3325285},
 acmid = {3325285},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {Interaction. history, quality, style},
}

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