74.1

Yunfei Long

University of Essex

Yunfei Long has made significant contributions to natural language processing (NLP) research, focusing on multimodal sentiment analysis, aspect sentiment extraction, and language understanding. Recent work employs novel architectures, such as coordinated-joint translation fusion frameworks and graph convolutional networks, to improve the accuracy of sentiment analysis tasks. Additionally, studies explore the effects of Niobium doping on lithium-ion battery stability and investigate linguistic synesthesia in Chinese, shedding light on the relationship between sensory adjectives and language perception. Long's research also delves into explainable and interpretable deep learning for healthcare applications and explores digital interventions for mental health literacy among young people, advancing our understanding of online wellbeing and sentiment analysis.

Emotion RecognitionAspect-based Sentiment AnalysisTopic ModelingMulti-label LearningSensory ExpectationsSentiment AnalysisWord RepresentationLanguage ModelingPart-of-Speech TaggingSynesthetic ExperiencesNamed Entity RecognitionText MiningMental HealthLexicon-Based MethodsInternet-based Interventions
Commercial signal 73.7
Scientific signal 78.1
Social signal 73.5
Papers 30
0 Patent-to-paper cites
343 Paper cites

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