Electronics and computer science
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Politics and international relations
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Art, design, media and fashion
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Sociology, social policy and criminology
Multimodal Natural Language Processing for Computational Social Science
This PhD focuses on developing deep-learning techniques based on multimodal natural language processing (NLP), including large language models (LLMs), audio processing, computer vision (pose estimation, emotion recognition), knowledge graphs or neurosymbolic models in computational social science, analysing discourse in text/audio/video format, including emotional rhetoric analysis, information extraction, and argument mining.