Poria, Soujanya

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

MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis

Hazarika, D., Zimmermann, R., & Poria, S. (2020) · Proceedings of the 28th ACM International Conference on Multimedia

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 1,073

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

Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis

Han, W., Chen, H., & Poria, S. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Sentiment Analysis and Opinion MiningMultimodal Machine Learning Applications

Cited by 570

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

Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)

Castro, S., Hazarika, D., Pérez-Rosas, V., Zimmermann, R., Mihalcea, R., & Poria, S. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Sentiment Analysis and Opinion MiningHate Speech and Cyberbullying Detection

Cited by 243

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

Investigating Gender Bias in BERT

Bhardwaj, R., Majumder, N., & Poria, S. (2021) · Cognitive Computation

Ethics and Social Impacts of AITopic Modeling

Cited by 112

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

Analyzing Modality Robustness in Multimodal Sentiment Analysis

Hazarika, D., Li, Y., Cheng, B., Zhao, S., Zimmermann, R., & Poria, S. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 51

Mustango: Toward Controllable Text-to-Music Generation

Melechovsky, J., Guo, Z., Ghosal, D., Majumder, N., Herremans, D., & Poria, S. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Music Technology and Sound StudiesMusic and Audio Processing

Cited by 48

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

CIDER: Commonsense Inference for Dialogue Explanation and Reasoning

Ghosal, D., Hong, P., Shen, S., Majumder, N., Mihalcea, R., & Poria, S. (2021) · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue

Speech and dialogue systemsLogic, Reasoning, and Knowledge

Cited by 19

PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns

Chia, Y. K., Toh, V., Ghosal, D., Bing, L., & Poria, S. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 10

Why AI Is WEIRD and Should Not Be This Way: Towards AI For Everyone, With Everyone, By Everyone

Mihalcea, R., Ignat, O., Bai, L., Borah, A., Chiruzzo, L., Jin, Z., Kwizera, C., Nwatu, J., Poria, S., & Solorio, T. (2024) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 4