I am currently a researcher at the Laboratory of Artificial Intelligence and Decision Support (LIAAD) which is a R&D unit of INESC-TEC Research Laboratory. I am part of the Health From Portugal project. I am also an invited professor at the Faculty of Sciences University of Porto. My current research focus on Natural Language Processing and Large Language Models
More information on the Safe Cities project here
Develop methods for fake news detection and analysis.
Currently working on fake news detection and analysis.
I was part of REMINDS - RElevance MINing and Detection System project and my focus is on Sentiment Analysis on Social Networks.
I worked at CIAFEL - The Research Centre in Physical Activity, Health and Leisure in is home institution (the Faculty of Sport Sciences and Physical Education at the University of Porto, Portugal) as a researcher in the Afina-te project.
Thesis Theme: Towards realistic scenarios concerning the identification of unreliable information in social networks
Dissertation Theme: Lexicon Expansion System for Domain and Time Oriented Sentiment Analysis
N. Guimarães, R. Campos, A. Jorge (2023). Pre-trained language models: What do they know? WIREs Data Mining and Knowledge Discovery, e1518. https://doi.org/10.1002/widm.1518
N. Guimaraes, A. Figueira, L. Torgo: Can Fake News Detection Models Maintain the Performance through Time? A Longitudinal Evaluation of Twitter Publications in Mathematics - Volume 9(Issue 22), November 2021
N. Guimaraes, A. Figueira, L. Torgo: Towards a pragmatic detection of unreliable accounts on social networks in Online Social Networks and Media - Volume 24, July 2021
N. Guimaraes, A. Figueira, L. Torgo: Profiling Accounts Political Bias on Twitter in Proceedings of 16th Iberian Conference on Information Systems and Technologies (CISTI), 2021
N. Guimaraes, A. Figueira, L. Torgo: Knowledge-Based Reliability Metrics for Social Media Accounts in Proceedings of the 16th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, 339-350, 2020
N. Guimaraes, A. Figueira, L. Torgo: Analysis and Detection of Unreliable Users in Twitter: Two Case Studies in Knowledge Discovery, Knowledge Engineering and Knowledge Management (10th International Joint Conference, IC3K 2018, Seville, Spain, September 18-20, 2018, Revised Selected Papers), 2020
N. Guimaraes, K. Vehkalahti, P. Campos: Fake news and Big Data: An overview of solutions in Proceedings of the 62nd ISI World Statistics Congress, Vol 1, IPS162, Pages 333-341,August 2019
A. Figueira, N. Guimaraes, L. Torgo: A Brief Overview on the Strategies to Fight Back the Spread of False Information in Journal of Web Engineering, Vol 18, Pages 319-352,June 2019
N. Guimaraes, A. Figueira, L. Torgo: Contributions to the Detection of Unreliable Twitter Accounts through Analysis of Content and Behaviour in Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2018
A. Figueira, N. Guimaraes, L. Torgo: Current State of the Art to Detect Fake News in Social Media: Global Trendings and Next Challenges in Proceedings of 14th International Conference on Web Information Systems and Technologies, 2018
A. Figueira, N. Guimaraes, J. Pinto: A System to Automatically Predict Relevance in Social Media in Procedia Computer Science, Volume 164, Pages 105-112, 2019
N. Guimaraes, F. Miranda, A. Figueira: Identifying journalistically relevant social media texts using human and automatic methodologies International Journal of Grid and Utility Computing 11(1):72-82, 2020
N. Guimaraes, A. Figueira: Building a Semi-Supervised Dataset to Train Journalistic Relevance Detection Models Proceedings of the 3rd Intl Conf on Big Data Intelligence and Computing, 2018
N. Guimaraes, F. Miranda, A. Figueira: Human vs. Automatic Annotation Regarding the Task of Relevance Detection in Social Networks Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 17), 2018
A. Figueira, N. Guimaraes: Detecting Journalistic Relevance on Social Media: A two-case study using automatic surrogate features in Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 Pages 1136-1139, 2017
D. Cunha, N. Guimaraes, A. Figueira: An Archictecture for a Continuous and Exploratory Analysis on Social Media in Proceedings of the International Conference on Big Data Analytics, Data Mining and Computational Intelligence 2017
N. Guimaraes, L. Torgo, A. Figueira: Twitter as a Source for Time- and Domain-Dependent Sentiment Lexicons in book: Social Network Based Big Data Analysis and Applications, 2018
N. Guimaraes, L. Torgo, A. Figueira: Lexicon Expansion System for Domain and Time Oriented Sentiment Analysis in Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2016
N. Guimaraes, V. Ferro-Lebres, J. Ribeiro: AFINA-te - A Healthy Lifestyle Information Website, Online Food Diary and Exercise Log Directly Towards Children in Proceedings of the 7th International Conference on Computer Supported Education , 2015
A verdade que nós andamos a esconder sobre a covid - Expresso, 7 Junho 2020
Fake news no Twitter sobre vírus quintuplicam num mês - Expresso, 28 Março 2020
Da relevância à veracidade nas redes sociais / From the relevance to authenticity in social networks - BIP 198, November 2018
Fake News: Investigadores criam sistema para detetar informações falsas nas redes sociais - Lusa, 25 Maio 2020
Universidade do Porto cria site para orientar jovens nos hábitos alimentares e desportivos - Sapo Lifestyle (via Lusa), 6 Junho 2016