Luís Paulo Reis

University of Porto

Luís Paulo Reis is Director of LIACC – Artificial Intelligence and Computer Science Lab at the University of Porto and Associate Professor at the Faculty of Engineering of the University of Porto. He received his Electrical Engineering BSc, MSc and PhD degrees from the University of Porto in 1993, 1995 and 2003. His main topics of research are Artificial Intelligence, Intelligent Robotics, Intelligent Simulation and Serious Games. He was the principal researcher in more than 10 projects in these areas. He supervised 18 PhD theses and 101 MSc theses to completion. He is the author of more than 300 publications in indexed international conferences and journals. He organized more than 50 international conferences and workshops. Through his scientific investigation, he was awarded more than 50 national/international awards. He was President of SPR – Portuguese Society of Robotics and currently is Vice President of APPIA – Portuguese Association for Artificial Intelligence and is IEEE Senior Member. He also regularly performs expert evaluations for the European Commission, Portuguese Foundation for Science and Technology, National Innovation Agency, among others.

Text Mining to Improve Qualitative Data Analysis of Large Document Collections
Text Mining is the process of deriving high-quality information from text using analytical and natural language processing methods. Text analysis involves among others, information retrieval, lexical analysis, pattern recognition, tagging/annotation, information extraction, data mining, visualization, and predictive analytics. The main goal is, essentially, to turn text into valid information for analysis. This Talk introduces the main processes and methodologies of text mining to support qualitative data analysis of large-scale document collections. It aims to contribute to the steadily growing field of qualitative research facing the challenge to consolidate text analysis methods to be able to process vast amounts of text, in a semi-autonomous manner, using modern data and text mining algorithms. The talk will be illustrated with examples and results from recent LIACC projects on this area with emphasis on our projects on complaints analysis developed together with the Portuguese Government (Min. Economy/ASAE) and several projects developed together with large companies such as Twitómetro/TwitterEcho, VOXX, Time Machine, Financial Sentiment Analysis and Argumentation Mining.