Evaluating Lexicon Incorporation for Depression Symptom Estimation

arXiv:2404.19359v1 Announce Type: new
Abstract: This paper explores the impact of incorporating sentiment, emotion, and domain-specific lexicons into a transformer-based model for depression symptom estimation. Lexicon information is added by marking the words in the input transcripts of patient-therapist conversations as well as in social media posts. Overall results show that the introduction of external knowledge within pre-trained language models can be beneficial for prediction performance, while different lexicons show distinct behaviours depending on the targeted task. Additionally, new state-of-the-art …

abstract arxiv conversations cs.ai cs.cl depression domain emotion impact information introduction media paper patient results sentiment show social social media transcripts transformer type words