Academic Profile

Erik Cambria is the Founder of SenticNet, a Singapore-based company offering B2B sentiment analysis services, and an Associate Professor at NTU, where he also holds the appointment of Provost Chair in Computer Science and Engineering. Prior to joining NTU, he worked at Microsoft Research Asia (Beijing) and HP Labs India (Bangalore) and earned his PhD through a joint programme between the University of Stirling and MIT Media Lab.

His research focuses on the ensemble application of symbolic and subsymbolic AI to natural language processing tasks such as sentiment analysis, dialogue systems, and financial forecasting. Erik is recipient of many awards, e.g., the 2019 IEEE Outstanding Early Career Award, he was listed among the 2018 AI's 10 to Watch, and was featured in Forbes as one of the 5 People Building Our AI Future. He is Associate Editor of several journals, e.g., INFFUS, IEEE CIM, and KBS, Special Content Editor of FGCS, Department Editor of IEEE Intelligent Systems, and is involved in many international conferences as program chair and invited speaker.
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Assoc Prof Erik Cambria
Associate Professor, School of Computer Science and Engineering

sentic computing
sentiment analysis
commonsense reasoning
natural language understanding
 
  • B2: Conversational Assistant (IAF-ICP)(01.12.2019-30.11.2024)

  • B2: Conversational Assistant (RCA)(01.12.2019-30.11.2024)

  • Human-Robot Collaborative AI for Advanced Manufacturing and Engineering (AME) Programmatic Grant: Commonsense Reasoning

  • MICE - A Multilingual Corpus Of Emotion Expressions Of Malay, Indonesian, Chinese And English

  • Provost's Chair in Computer Science and Engineering

  • Sentic Computing
 
  • W Li, W Shao, S Ji, E Cambria. BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis. IEEE Computational Intelligence Magazine 16 (2021)

  • Y Susanto, E Cambria, BC Ng, A Hussain. Ten Years of Sentic Computing. Cognitive Computation 13 (2021)

  • E Cambria, Y Li, FZ Xing, S Poria, K Kwok. SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis. Proceedings of CIKM, 105-114 (2020)

  • A Fadel, M Al-Ayyoub, E Cambria. JUSTers at SemEval-2020 Task 4: Evaluating Transformer Models Against Commonsense Validation and Explanation. Proceedings of SemEval, 535-542 (2020)

  • N Howard, E Cambria. Sentic Neurons: Expanding Intention Awareness. US Patent 10,846,601 (2020)