Multilayer Framework for the Information Spreading
Characterization in Social Media during the
COVID-19 Crisis (InfoCoV)

Natural language processing (NLP) is a subfield of artificial intelligence. The aim of this field is to develop approaches that enable interactions between computers and human language, in particular, to program computers to process and analyse large amounts of natural language data.

Common NLP tasks involve text classification, automatic text summarization, machine translation, dialogue management, question answering, information retrieval, keyword extraction, sentiment analysis, etc.

Social network analysis is a subfield of network theory that concerns methods and theories for the specific application to social networks. This category focuses on methods to analyse networks, that is, both methods specifically developed for the analysis of social networks and methods developed for all other kinds of networks.

Deep learning is a part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. It is applied to fields including computer vision,  speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design, medical image analysis, etc.