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https://github.com/cty20010831/uchicago_ma_thesis_divergent-semantic-integration

This repository contains the code to calculate DSI in my MA thesis.

https://github.com/cty20010831/uchicago_ma_thesis_divergent-semantic-integration

Science Score: 13.0%

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    Low similarity (10.3%) to scientific vocabulary
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Repository

This repository contains the code to calculate DSI in my MA thesis.

Basic Info
  • Host: GitHub
  • Owner: cty20010831
  • Language: Python
  • Default Branch: main
  • Size: 271 KB
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  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
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Created about 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme

README.md

Code to Calculate Divergent Semantic Integration (DSI)

This repository contains code from Johnson et al.'s (2022) paper Divergent semantic integration (DSI): Extracting creativity from narratives with distributional semantic modeling.

Github Repo Navigation

The following is the top-level directory layout of this repo:

.
├── DSI.py                 # Main python script to calculate DSI score
├── environment.yml        # Configure the environment and installing required packages
├── pyDSI tutorial         # A detailed tutorial on how to calculate DSI score
├── study1_OSF FINAL.csv   # The original result file from the authors' paper (can also be used to test the code in the first place)
├── README.md

Environment Activation and Code Running

After installing miniconda, the first step is to create the virtual environment: bash conda env create -f environment.yml

The next step is to activate the created environment: bash conda activate dsi

The next step is to run DSI.py file (using the Python interpreter located at the virtual environment): bash python DSI.py

Note: I have updated the input and output csv file in DSI.py file to \user_text folder.

References

@article{johnson2023divergent, title={Divergent semantic integration (DSI): Extracting creativity from narratives with distributional semantic modeling}, author={Johnson, Dan R and Kaufman, James C and Baker, Brendan S and Patterson, John D and Barbot, Baptiste and Green, Adam E and van Hell, Janet and Kennedy, Evan and Sullivan, Grace F and Taylor, Christa L and others}, journal={Behavior Research Methods}, volume={55}, number={7}, pages={3726--3759}, year={2023}, publisher={Springer} }

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Dependencies

environment.yml pypi
  • transformers *