Ontology highlight
ABSTRACT: Background
Sentiment analysis is a significant yet difficult task in natural language processing. The linguistic peculiarities of Cantonese, including its high similarity with Standard Chinese, its grammatical and lexical uniqueness, and its colloquialism and multilingualism, make it different from other languages and pose additional challenges to sentiment analysis. Recent advances in models such as ChatGPT offer potential viable solutions.Objective
This study investigated the efficacy of GPT-3.5 and GPT-4 in Cantonese sentiment analysis in the context of web-based counseling and compared their performance with other mainstream methods, including lexicon-based methods and machine learning approaches.Methods
We analyzed transcripts from a web-based, text-based couns
SUBMITTER: Fu Z
PROVIDER: S-EPMC10865189 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature