Erik Cambria
About
Erik Cambria has authored 339 papers that have received a total of 22.9k indexed citations.
This includes 279 papers in Artificial Intelligence, 48 papers in Experimental and Cognitive Psychology and 36 papers in Computer Vision and Pattern Recognition. The topics of these papers are Sentiment Analysis and Opinion Mining (174 papers), Topic Modeling (142 papers) and Advanced Text Analysis Techniques (108 papers). Erik Cambria is often cited by papers focused on Sentiment Analysis and Opinion Mining (174 papers), Topic Modeling (142 papers) and Advanced Text Analysis Techniques (108 papers) and collaborates with scholars based in Singapore, China and United Kingdom. Erik Cambria's co-authors include Soujanya Poria, Amir Hussain, Alexander Gelbukh, Iti Chaturvedi and Rui Mao and has published in prestigious journals such as Computers in Human Behavior, Expert Systems with Applications and BMC Bioinformatics
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