GPTEval: A survey on assessments of ChatGPT and GPT-4

R Mao, G Chen, X Zhang, F Guerin… - arxiv preprint arxiv …, 2023 - arxiv.org
The emergence of ChatGPT has generated much speculation in the press about its potential
to disrupt social and economic systems. Its astonishing language ability has aroused strong …

Large language models and knowledge graphs: Opportunities and challenges

JZ Pan, S Razniewski, JC Kalo, S Singhania… - arxiv preprint arxiv …, 2023 - arxiv.org
Large Language Models (LLMs) have taken Knowledge Representation--and the world--by
storm. This inflection point marks a shift from explicit knowledge representation to a renewed …

[HTML][HTML] A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics

K He, R Mao, Q Lin, Y Ruan, X Lan, M Feng… - Information …, 2025 - Elsevier
The utilization of large language models (LLMs) for Healthcare has generated both
excitement and concern due to their ability to effectively respond to free-text queries with …

Multimodal sentiment analysis based on fusion methods: A survey

L Zhu, Z Zhu, C Zhang, Y Xu, X Kong - Information Fusion, 2023 - Elsevier
Sentiment analysis is an emerging technology that aims to explore people's attitudes toward
an entity. It can be applied in a variety of different fields and scenarios, such as product …

Will affective computing emerge from foundation models and general artificial intelligence? A first evaluation of ChatGPT

MM Amin, E Cambria, BW Schuller - IEEE Intelligent Systems, 2023 - ieeexplore.ieee.org
ChatGPT has shown the potential of emerging general artificial intelligence capabilities, as it
has demonstrated competent performance across many natural language processing tasks …

Multi-source aggregated classification for stock price movement prediction

Y Ma, R Mao, Q Lin, P Wu, E Cambria - Information Fusion, 2023 - Elsevier
Predicting stock price movements is a challenging task. Previous studies mostly used
numerical features and news sentiments of target stocks to predict stock price movements …

Sentiment analysis: A survey on design framework, applications and future scopes

M Bordoloi, SK Biswas - Artificial intelligence review, 2023 - Springer
Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …

[PDF][PDF] MetaPro Online:: A computational metaphor processing online system

R Mao, X Li, H Kai, M Ge, E Cambria - Proceedings of the 61st …, 2023 - aura.abdn.ac.uk
M etaphoric expressions are a special linguistic phenomenon, frequently appearing in
everyday language. Metaphors do not take their literal meanings in contexts, which may …

Sentimentgpt: Exploiting gpt for advanced sentiment analysis and its departure from current machine learning

K Kheiri, H Karimi - arxiv preprint arxiv:2307.10234, 2023 - arxiv.org
This study presents a thorough examination of various Generative Pretrained Transformer
(GPT) methodologies in sentiment analysis, specifically in the context of Task 4 on the …

Emotionqueen: A benchmark for evaluating empathy of large language models

Y Chen, H Wang, S Yan, S Liu, Y Li, Y Zhao… - arxiv preprint arxiv …, 2024 - arxiv.org
Emotional intelligence in large language models (LLMs) is of great importance in Natural
Language Processing. However, the previous research mainly focus on basic sentiment …