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--- title: "Meghanani 2021" type: concept source: https://www.jemoka.com/posts/kbhmeghanani_2021/ confidence: high status: active --- 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: