DOI: 10.3389/fcomp.2021.624558
One-Liner
analyzed spontaneous speech transcripts (only!) from TD and AD patients with fastText and CNN; best was \(83.33\%\) acc.
Novelty
- threw the NLP kitchen sink to transcripts
- fastText
- CNN (with vary n-gram kernel 2,3,4,5 sizes)
Notable Methods
- embeddings seaded by GloVe
- fastText are much faster, but CNN won out
Key Figs
the qual results
PAR (participant), INV (investigator)
Notes
Hey look a review of the field:
