Cambria, Erik

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

Ji, S., Pan, S., Cambria, E., Marttinen, P., & Yu, P. S. (2022) · IEEE Transactions on Neural Networks and Learning Systems

Advanced Graph Neural NetworksTopic Modeling

Cited by 2,947

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

Young, T., Hazarika, D., Poria, S., & Cambria, E. (2018) · IEEE Computational Intelligence Magazine

Topic ModelingNatural Language Processing Techniques

Cited by 2,921

Tensor Fusion Network for Multimodal Sentiment Analysis

Zadeh, A., Chen, M., Poria, S., Cambria, E., & Morency, L.-P. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Sentiment Analysis and Opinion MiningMultimodal Machine Learning Applications

Cited by 2,102

A review of affective computing: From unimodal analysis to multimodal fusion

Poria, S., Cambria, E., Bajpai, R., & Hussain, A. (2017) · Information Fusion

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 1,644

Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph

Bagher Zadeh, A., Liang, P. P., Poria, S., Cambria, E., & Morency, L.-P. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Multimodal Machine Learning ApplicationsSentiment Analysis and Opinion Mining

Cited by 1,433

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

Poria, S., Hazarika, D., Majumder, N., Naik, G., Cambria, E., & Mihalcea, R. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 1,416

Context-Dependent Sentiment Analysis in User-Generated Videos

Poria, S., Cambria, E., Hazarika, D., Majumder, N., Zadeh, A., & Morency, L.-P. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 939

Memory Fusion Network for Multi-view Sequential Learning

Zadeh, A., Liang, P. P., Mazumder, N., Poria, S., Cambria, E., & Morency, L.-P. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsTime Series Analysis and Forecasting

Cited by 855

Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions

Gandhi, A., Adhvaryu, K., Poria, S., Cambria, E., & Hussain, A. (2023) · Information Fusion

Sentiment Analysis and Opinion MiningMultimodal Machine Learning Applications

Cited by 783

Fusing audio, visual and textual clues for sentiment analysis from multimodal content

Poria, S., Cambria, E., Howard, N., Huang, G.-B., & Hussain, A. (2016) · Neurocomputing

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 534

Sentiment Analysis Is a Big Suitcase

Cambria, E., Poria, S., Gelbukh, A., & Thelwall, M. (2017) · IEEE Intelligent Systems

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 439

How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble [Application Notes]

Akhtar, M. S., Ekbal, A., & Cambria, E. (2020) · IEEE Computational Intelligence Magazine

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 246

Towards an intelligent framework for multimodal affective data analysis

Poria, S., Cambria, E., Hussain, A., & Huang, G.-B. (2015) · Neural Networks

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 236

MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare

Ji, S., Zhang, T., Ansari, L., Fu, J., Tiwari, P., & Cambria, E. (2022) · Proceedings of the Language Resources and Evaluation Conference

Mental Health via WritingSentiment Analysis and Opinion Mining

Cited by 233

Real-Time Video Emotion Recognition Based on Reinforcement Learning and Domain Knowledge

Zhang, K., Li, Y., Wang, J., Cambria, E., & Li, X. (2022) · IEEE Transactions on Circuits and Systems for Video Technology

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 184

Will Affective Computing Emerge From Foundation Models and General Artificial Intelligence? A First Evaluation of ChatGPT

Amin, M. M., Cambria, E., & Schuller, B. W. (2023) · IEEE Intelligent Systems

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 162

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

He, K., Mao, R., Lin, Q., Ruan, Y., Lan, X., Feng, M., & Cambria, E. (2025) · Information Fusion

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 147

A survey on XAI and natural language explanations

Cambria, E., Malandri, L., Mercorio, F., Mezzanzanica, M., & Nobani, N. (2023) · Information Processing & Management

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 131

A Survey of Large Language Models for Healthcare: From Data, Technology, and Applications to Accountability and Ethics

He, K., Mao, R., Lin, Q., Ruan, Y., Lan, X., Feng, M., & Cambria, E. (2024) · SSRN Electronic Journal

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 69

Hate speech detection: A comprehensive review of recent works

Gandhi, A., Ahir, P., Adhvaryu, K., Shah, P., Lohiya, R., Cambria, E., Poria, S., & Hussain, A. (2024) · Expert Systems

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 66

Gated recurrent unit with multilingual universal sentence encoder for Arabic aspect-based sentiment analysis

AL-Smadi, M., Hammad, M. M., Al-Zboon, S. A., AL-Tawalbeh, S., & Cambria, E. (2023) · Knowledge-Based Systems

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 62

Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Yang, Z., Du, X., Li, J., Zheng, J., Poria, S., & Cambria, E. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 34

A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics

He, K., Mao, R., Lin, Q., Ruan, Y., Lan, X., Feng, M., & Cambria, E. (2023) · arXiv

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 27

Sparks of Large Audio Models: A Survey and Outlook

Latif, S., Shoukat, M., Shamshad, F., Usama, M., Ren, Y., Cuayáhuitl, H., Wang, W., Zhang, X., Togneri, R., Cambria, E., et al. (2023) · arXiv

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 17