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personality questionnaire 1.1.2
personality_questionnaire
Personality and general questionnaire processing methods for various experiments.
Supported Questionnaires
BFI-2
VAS-F
Inputs
Questionnaire answers are...
read via command line interface
ints in a numpy ndarray (.npy)
ints in a csv file (.csv)
strings in a csv file (.csv)
Outputs
For BFI-2, the OCEAN and FACET values are scaled to the range [0..1] per participant.
For VAS-F, the relative values are calculated.
Setup
Install package from PyPI
pip install personality_questionnaire
Install package for development
git clone https://github.com/fodorad/personality_questionnaire
cd personality_questionnaire
pip install .
pip install -U -r requirements.txt
python -m unittest discover -s test
Quick start
Run interactive BFI-2 questionnaire
If you installed it via pip:
personality_questionnaire --participant_id test --questionnaire bfi2
alternative call:
python personality_questionnaire/api.py --participant_id test --questionnaire bfi2
Run interactive VAS-F (pre- and post-)questionnaires
If you installed it via pip:
personality_questionnaire --participant_id test --questionnaire vasf --vasf_tag pre
personality_questionnaire --participant_id test --questionnaire vasf --vasf_tag post
alternative call:
python personality_questionnaire/api.py --participant_id test --questionnaire vasf --vasf_tag pre
python personality_questionnaire/api.py --participant_id test --questionnaire vasf --vasf_tag post
Projects using exordium
(2022) PersonalityLinMulT
LinMulT is trained for Big Five personality trait estimation using the First Impressions V2 dataset and sentiment estimation using the MOSI and MOSEI datasets.
paper: Multimodal Sentiment and Personality Perception Under Speech: A Comparison of Transformer-based Architectures (pdf, website)
code: https://github.com/fodorad/PersonalityLinMulT
What's next
Add support for the following questionnaires: HEXACO
Updates
1.1.0: Add support for VAS-F and interactive CMD interface.
1.0.0: Add support for BFI-2 and PyPI publish.
Contact
Ádám Fodor ([email protected])
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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