Given text, classify it as 'neutral or no emotion' or as one, or more, of several given emotions that best represent the mental state of the writer.
Understanding emotion expressed in language has a wide range of applications, from building empathetic chatbots to detecting harmful online behavior.
Ranked #1 on
Emotion Classification
on GoEmotions
In this paper we propose an implement a general convolutional neural network (CNN) building framework for designing real-time CNNs.
Multi-emotion sentiment classification is a natural language processing (NLP) problem with valuable use cases on real-world data.
Ranked #3 on
Emotion Classification
on SemEval 2018 Task 1E-c
(Macro-F1 metric)
EMOTION CLASSIFICATION LANGUAGE MODELLING SENTIMENT ANALYSIS
Emotion recognition in conversation (ERC) has received much attention, lately, from researchers due to its potential widespread applications in diverse areas, such as health-care, education, and human resources.
Ranked #1 on
Emotion Recognition in Conversation
on SEMAINE
Emotion detection in conversations is a necessary step for a number of applications, including opinion mining over chat history, social media threads, debates, argumentation mining, understanding consumer feedback in live conversations, etc.
Ranked #2 on
Emotion Recognition in Conversation
on SEMAINE
EMOTION CLASSIFICATION EMOTION RECOGNITION IN CONVERSATION MULTIMODAL EMOTION RECOGNITION
Speech emotion recognition is a challenging task, and extensive reliance has been placed on models that use audio features in building well-performing classifiers.
EMOTION CLASSIFICATION MULTIMODAL EMOTION RECOGNITION MULTIMODAL SENTIMENT ANALYSIS SPEECH EMOTION RECOGNITION
In this paper we introduce the Perception for Autonomous Systems (PAZ) software library.
2D OBJECT DETECTION 6D POSE ESTIMATION DATA AUGMENTATION EMOTION CLASSIFICATION FACE RECOGNITION INSTANCE SEGMENTATION SEMANTIC SEGMENTATION
In a previous work, we introduced an attention-based convolutional recurrent neural network that uses music emotion classification as a surrogate task for music highlight extraction, for Pop songs.
We test our method in the EmotiW 2018 challenge and we gain promising results.
EMOTION CLASSIFICATION MULTIMODAL EMOTION RECOGNITION TRANSFER LEARNING
In this paper we present deep-learning models that submitted to the SemEval-2018 Task~1 competition: "Affect in Tweets".