Towards a hybrid approach for Arabic Sentiment Analysis
PhD Student: Amira Barhoumi
Advisor(s): Yannick Estève (LIUM, LST)
Co-advisor(s): Nathalie Camelin (LIUM, LST) & Lamia Hadrich Belguith (MIRACL, Tunisie)
Funding: Agreement "Cotutelle Convention" (LIUM, LST) & (MIRACL, Tunisie)
Sentiment analysis is a growing field of research and has been subject of numerous studies. This thesis aims at designing a hybrid pragmatic approach for Arabic sentiment analysis. More specifically, it involves injecting heterogeneous knowledge for the construction of a neural architecture in order to improve the performance of the task.