The Data and Text Analytics Lab Research Group

The Data And Text Analytics Lab is a research laboratory belonging to the Department of Engineering “Enzo Ferrari”, University of Modena and Reggio Emilia, Italy.

Research in DTA-Lab covers topics of Data & Text Analysis, Data Management and Natural Language Processing.
DTA-Lab studies and implements innovative software applications in particular in the following fields:

• Big Data Management, Analysis, Integration and AI for Databases
  • Efficient management of large datasets for optimized storage and retrieval.
  • Identifying trends and patterns in data, including classification, regression, and market analysis.
  • Leveraging advanced analytics, machine learning, and Artificial Intelligence techniques to extract insights from databases.
  • Building large datasets through web scraping and/or data integration.
  • Identifying and resolving similar entities within collections (entity discovery and resolution).
  • Aligning data source schemas for seamless integration.
• Machine Learning in Production
  • Bridging the gap between proof-of-concept projects and fully operational software applications in real-world environments.
• Deep Learning and Large Language Models
  • Applying state-of-the-art transformer-based technologies for tasks such as word embeddings, sentiment analysis, argument mining, and fact-checking.
  • Utilizing tabular language models to handle structured data, enabling advanced reasoning, classification, and analysis of tabular datasets in natural language tasks.

DTA-Lab is available for participating in research and training projects with other Universities and Research Centers and with Companies.