Emotion prediction and application with neural networks.
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Updated
Nov 13, 2017 - Python
Emotion prediction and application with neural networks.
In this project we analyzed several subjects belonging to the CK+ dataset in order to detect when a micro-expression occurred. We also analyzed the intra-class and inter-class differences between different emotions. Team: Emanuele Fittipaldi, Paolo Plomitallo, Università degli Studi di Salerno, Fisciano, Salerno, Italy.
Prediction of Facebook-user reactions to supermarkets using neural networks
In this project we analyzed several subjects belonging to the CK+ dataset in order to detect when a micro-expression occurred. We also analyzed the intra-class and inter-class differences between different emotions. Team: Emanuele Fittipaldi, Paolo Plomitallo, Università degli Studi di Salerno, Fisciano, Salerno, Italy.
A machine learning project focused on predicting emotions and generating context-aware responses based on given scenarios. The project utilizes NLP techniques and invites contributions to improve datasets, models, and real-world applicability.
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