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ChatGPT for complex text evaluation tasks
Abstract ChatGPT and other large language models (LLMs) have been successful at natural and computer language processing tasks with varying degrees of complexity. This brief communication summarizes the lessons learned from a series of investigations into its use for the complex text analysis task of research quality evaluation.
Mike Thelwall
wiley +1 more source
A deep sentiment model combining ALBERT-driven context and EHO-optimized architecture. [PDF]
Oqaibi H, Sharma S.
europepmc +1 more source
Manual annotation based sentiment analysis of user feedback in health and wellness app reviews. [PDF]
Varghese L +4 more
europepmc +1 more source
Aspect-level multimodal sentiment analysis model based on multi-scale feature extraction. [PDF]
Miao B, Xu C.
europepmc +1 more source
Analyzing public opinion on China's "Double Reduction" policy: A sentiment and content analysis of microblog discourse. [PDF]
Liu S, Feng B.
europepmc +1 more source
Intelligent Robot with Aspect based Sentiment Analysis
openaire +1 more source
Emotion meets coordination: Designing multi-agent LLMs for fine-grained user sentiment detection on social media. [PDF]
Dong H, Bao Z, Li M, Yang Z.
europepmc +1 more source
Multilingual sentiment analysis in restaurant reviews using aspect focused learning. [PDF]
Rahman A +6 more
europepmc +1 more source

