Mateus Tarcinalli Machado

Orcid: 0000-0003-1848-3082

According to our database1, Mateus Tarcinalli Machado authored at least 10 papers between 2014 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Enhancing Brazilian Inflation Forecasts through Sentiment Analysis Using Large Language Models.
Proceedings of the 17th International Conference on Computational Processing of Portuguese, 2026

2024
Evaluating large language models for the tasks of PoS tagging within the Universal Dependency framework.
Proceedings of the 16th International Conference on Computational Processing of Portuguese, 2024

2022
NILC at ABSAPT 2022: Aspect Extraction for Portuguese.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

Implicit Opinion Aspect Clues in Portuguese Texts: Analysis and Categorization.
Proceedings of the Computational Processing of the Portuguese Language, 2022

Evaluating Methods for Extraction of Aspect Terms in Opinion Texts in Portuguese - the Challenges of Implicit Aspects.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021
A machine learning approach to literary genre classification on Portuguese texts: circumventing NLP's standard varieties.
Proceedings of the 13th Brazilian Symposium in Information and Human Language Technology, 2021

Learning rules for automatic identification of implicit aspects in Portuguese.
Proceedings of the 13th Brazilian Symposium in Information and Human Language Technology, 2021

2019
A New Statistical Approach for Comparing Algorithms for Lexicon Based Sentiment Analysis.
CoRR, 2019

2018
Creating a Portuguese Context Sensitive Lexicon for Sentiment Analysis.
Proceedings of the Computational Processing of the Portuguese Language, 2018

2014
Information Learned from Monitoring Microblogs during the 2014 Seasonal Flu Vaccination in Brazil.
Proceedings of the 10th IEEE International Conference on e-Science, 2014


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