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Erik Cambria

Researcher at Nanyang Technological University

Publications -  504
Citations -  38436

Erik Cambria is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Sentiment analysis & Computer science. The author has an hindex of 85, co-authored 410 publications receiving 25801 citations. Previous affiliations of Erik Cambria include Massachusetts Institute of Technology & University of Stirling.

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

TL;DR: This paper reviews significant deep learning related models and methods that have been employed for numerous NLP tasks and provides a walk-through of their evolution.
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Affective Computing and Sentiment Analysis

TL;DR: The emerging fields of affective computing and sentiment analysis, which leverage human-computer interaction, information retrieval, and multimodal signal processing for distilling people's sentiments from the ever-growing amount of online social data.
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New Avenues in Opinion Mining and Sentiment Analysis

TL;DR: The history, current use, and future of opinion mining and sentiment analysis are discussed, along with relevant techniques and tools.
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A Survey on Knowledge Graphs: Representation, Acquisition and Applications

TL;DR: A comprehensive review of the knowledge graph covering overall research topics about: 1) knowledge graph representation learning; 2) knowledge acquisition and completion; 3) temporal knowledge graph; and 4) knowledge-aware applications and summarize recent breakthroughs and perspective directions to facilitate future research.
Posted Content

Recent Trends in Deep Learning Based Natural Language Processing

TL;DR: Deep learning methods employ multiple processing layers to learn hierarchical representations of data and have produced state-of-the-art results in many domains as mentioned in this paper, such as natural language processing (NLP).