E. Cambria

Publications346
h-index71
Citations15,923
Highly Influential Citations882
Author pages are created from data sourced from our academic publisher partnerships and public sources.

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Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph
TLDR
We introduce CMU Multimodal Opinion Sentiment and Emotion Intensity (CMU-MOSEI), the largest dataset of sentiment analysis and emotion recognition to date. Expand
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Recent Trends in Deep Learning Based Natural Language Processing [Review Article]
TLDR
We review significant deep learning related models and methods that have been employed for numerous NLP tasks and provide a walk-through of their evolution. Expand
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SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis
TLDR
SenticNet 3 models nuanced semantics and sentics (that is, the conceptual and affective information associated with multi-word natural language expressions), representing information with a symbolic opacity of an intermediate nature between that of neural networks. Expand
  • 310
  • 37
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New Avenues in Opinion Mining and Sentiment Analysis
TLDR
The Web holds valuable, vast, and unstructured information about public opinion. Expand
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Tensor Fusion Network for Multimodal Sentiment Analysis
TLDR
We introduce a novel model, termed Tensor Fusion Network, which learns both intra- and inter-modality dynamics end-to-end for multimodal sentiment analysis. Expand
  • 234
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Context-Dependent Sentiment Analysis in User-Generated Videos
TLDR
We propose a LSTM-based model that enables utterances to capture contextual information from their surroundings in the same video, thus aiding the classification process. Expand
  • 225
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Memory Fusion Network for Multi-view Sequential Learning
TLDR
We present a new neural architecture for multi-view sequential learning called the Memory Fusion Network (MFN) that explicitly accounts for view-specific and cross-view interactions in a neural architecture and continuously models them through time. Expand
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A review of affective computing: From unimodal analysis to multimodal fusion
TLDR
The survey takes into account recent approaches, e.g., embeddings, which are missing from previous reviews.It covers and compares all state-of-the-art methods in details, while most available surveys just quickly describes them. Expand
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Affective Computing and Sentiment Analysis
  • E. Cambria
  • Computer Science
  • IEEE Intelligent Systems
  • 1 March 2016
TLDR
Emotion processing is a key tile for the emulation of human intelligence. Expand
  • 602
  • 22
Multi-attention Recurrent Network for Human Communication Comprehension
TLDR
In this paper, we present a novel neural architecture for understanding human communication called the Multi-attention Recurrent Network (MARN). Expand
  • 126
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