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- Q90433654 description "artykuł naukowy opublikowany 16 marca 2020" @default.
- Q90433654 description "artículu científicu espublizáu en marzu de 2020" @default.
- Q90433654 description "im März 2020 veröffentlichter wissenschaftlicher Artikel" @default.
- Q90433654 description "scientific article published on 16 March 2020" @default.
- Q90433654 description "wetenschappelijk artikel" @default.
- Q90433654 description "наукова стаття, опублікована 16 березня 2020" @default.
- Q90433654 name "Academic Emotion Classification and Recognition Method for Large-scale Online Learning Environment-Based on A-CNN and LSTM-ATT Deep Learning Pipeline Method" @default.
- Q90433654 name "Academic Emotion Classification and Recognition Method for Large-scale Online Learning Environment-Based on A-CNN and LSTM-ATT Deep Learning Pipeline Method" @default.
- Q90433654 type Item @default.
- Q90433654 label "Academic Emotion Classification and Recognition Method for Large-scale Online Learning Environment-Based on A-CNN and LSTM-ATT Deep Learning Pipeline Method" @default.
- Q90433654 label "Academic Emotion Classification and Recognition Method for Large-scale Online Learning Environment-Based on A-CNN and LSTM-ATT Deep Learning Pipeline Method" @default.
- Q90433654 prefLabel "Academic Emotion Classification and Recognition Method for Large-scale Online Learning Environment-Based on A-CNN and LSTM-ATT Deep Learning Pipeline Method" @default.
- Q90433654 prefLabel "Academic Emotion Classification and Recognition Method for Large-scale Online Learning Environment-Based on A-CNN and LSTM-ATT Deep Learning Pipeline Method" @default.
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- Q90433654 P1476 "Academic Emotion Classification and Recognition Method for Large-scale Online Learning Environment-Based on A-CNN and LSTM-ATT Deep Learning Pipeline Method" @default.
- Q90433654 P2093 "Longhui Qiu" @default.
- Q90433654 P2093 "Xiang Feng" @default.
- Q90433654 P2093 "Xianglin Pan" @default.
- Q90433654 P2093 "Yaojia Wei" @default.
- Q90433654 P2093 "Yongmei Ma" @default.
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