2019 · 10 citations · 11 references
ComputingComputer ScienceComputational LinguisticsMachine LearningNatural Language ProcessingAffective ComputingDeep LearningEmotion ProcessingEmotion RecognitionEmotional ExpressionWord EmbeddingsAutomatic Emotion DetectionAutomatic Emotion RecognitionEmotion AnnotationEmotion DetectionSemantic FeaturesText-based Emotion AnalysisText-based Emotion DetectionText-based Emotion Recognition
Task 3, EmoContext, in the International Workshop SemEval 2019 provides training and testing datasets for the participant teams to detect emotion classes (Happy, Sad, Angry, or Others). This paper proposes a participating system (EmoDet) to detect emotions using deep learning architecture. The main input to the system is a combination of Word2Vec word embeddings and a set of semantic features (e.g.
11
Sepp Hochreiter, Jürgen Schmidhuber · Neural Computation · 1997 · 98.1K citations
Distributed Representations of Words and Phrases and their Compositionality
Tomáš Mikolov, Ilya Sutskever, Kai Chen et al. · arXiv (Cornell University) · 2013 · 18.1K citations · Full text
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov, Kai Chen, Greg S. Corrado et al. · arXiv (Cornell University) · 2013 · 11.7K citations · Full text