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Predicting Generalized Anxiety Disorder From Impromptu Speech Transcripts Using Context-Aware Transformer-Based Neural Networks: Model Evaluation Study

Predicting Generalized Anxiety Disorder From Impromptu Speech Transcripts Using Context-Aware Transformer-Based Neural Networks: Model Evaluation Study

Similarly, the first-person singular pronoun category was associated with anxiety only in the studies by Anderson et al [16] and Teferra et al [23] and nowhere else. These inconsistencies may be explained if the context for the specific words is taken into account—or, in other words, if the evaluation model is context aware. In this study, we hypothesized that there is a greater predictive power in examining the larger context of multiple words than in examining single words using LIWC.

Bazen Gashaw Teferra, Jonathan Rose

JMIR Ment Health 2023;10:e44325

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