Data Analytics for Prolexitim Product Line (early diagnosis and treatment of alexithymia)
May 2019.
Prolexitim dataset version 1.2 (MPGS-TFM-Submission).
Raúl Arrabales Moreno (Psicobótica / Serendeepia Research)
http://www.conscious-robots.com/
https://github.com/psicobotica/prolexitim-analytics
Folders:
- data: Experimentation datasets and saved models.
- exploratory: Exploratory analysis of merged data and dimensionality reduction visualization.
- scripts: Jupyter ipynbs with data processing, descriptive and predictive models.
- workflows: Knime workflows with predictive models.
- detectors: Deep Learning approaches to alexithymia language-based screening. Keras/TensorFlow RNN, LSTM, Word2Vec, Doc2Vec models.