Skip to content
affective visual journal: multi-label sentiment classifier + conditional GAN
Python HTML CSS JavaScript
Branch: master
Clone or download

Latest commit

Fetching latest commit…
Cannot retrieve the latest commit at this time.

Files

Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
app
assets/docs
gan
parser
.gitattributes
.gitignore
README.md
__init__.py

README.md

Lemotif: Affective Visual Journal

DOI

Demo | Building upon https://arxiv.org/abs/1903.07766

Lemotif generates a motif for your emotional life. You tell Lemotif a little bit about your day -- what were salient events or aspects and how they made you feel. Lemotif will generate a lemotif -- a creative abstract visual depiction of your emotions and their sources. Over time, Lemotif can create visual motifs to capture a summary of your emotional states over arbitrary periods of time -- making patterns in your emotions and their sources apparent, presenting opportunities to take actions, and measure their effectiveness.

Current Research

  • Collecting annotated data to train a BERT-based multi-label classifier performing aspect-based sentiment analysis identifying salient themes and emotions from free-form text.
  • Training a conditional StyleGAN-based model on abstract art data conditioned upon affective color labels.

Sample Outputs

Sample Outputs

Citation

Paper

@misc{parikh2019lemotif,
    title={Lemotif: Abstract Visual Depictions of your Emotional States in Life},
    author={Devi Parikh},
    year={2019},
    eprint={1903.07766},
    archivePrefix={arXiv},
    primaryClass={cs.HC}
}

Code

@misc{x_alice_li_2019_3269893,
  author       = {X. Alice Li and Devi Parikh},
  title        = {Lemotif: Affective Visual Journal},
  month        = jul,
  year         = 2019,
  doi          = {10.5281/zenodo.3269893},
  url          = {https://doi.org/10.5281/zenodo.3269893}
}
You can’t perform that action at this time.