Sentiment Reasoning for Healthcare

Second, emotions are subjective (Wearne The global market for sentiment analysis is projected et al., 2019), complex (Golan et al., 2006), and to expand from an estimated value of US$4 multidimensional, making accurate categorization billion in 2023 to US$10.1 billion by 2030, exhibiting difficult even for humans (Kuusikko et al., 2009), a compound annual growth rate (CAGR) of thereby necessitating the role of explainable artificial 14.2% over the forecast period from 2023 to 2030 intelligence (AI). Third, given the critical nature (Inc, 2024). In recent years, speech sentiment analysis of healthcare decisions, where errors can have has emerged as a significant interdisciplinary severe consequences, transparency in AI decisionmaking field at the intersection of natural language processing is essential to build trust among machines, (NLP), machine learning, and automatic healthcare professionals, and patients (Antoniadi speech recognition (ASR). This field focuses on the et al., 2021).