NLP, Text Classification, Definition of Lexical Ontologies, Content Based Social Network Analysis, Social Based Recommendation Systems
The research activities on Natural Language Processing started in 1991 with the aim of developing formal models and technologies for meaning extraction from natural language information sources, and they focus on the following application areas: Information Extraction, TextClassification, Definition of Lexical Ontologies, Content Based Social Network Analysis, Statistical Machine Translation, Semantic Web, Digital Humanities and Cultural Heritage. Relevant results produced in the past years are GraViTo, a software application for visual and interactive analysis of social networks, CATE, a platform for the development of automatic translation systems in the field of controlled languages and the Semantic Web annotation tool Pundit. Recent research is focused on the application of machine learning approaches based on lexical features to Malware Detection, Social Based Recommendation Systems and Temporal Information Extraction. Additional application areas that have been recently explored are chatbots, text abstracts and BERT-based systems.
Data Analytics, Artificial Intelligence and Cybersecurity (DAISY)
University of Rome “La Sapienza” (Italy), University of Bologna “Alma Mater Studiorum” (Italy), University of Namur (Belgium), University of Chieti-Pescara”G.d’annunzio” (Italy), National Centre for Scientific Research “Demokritos” (Greece).