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Nádia Félix Felipe da Silva
Title
Cited by
Cited by
Year
Tweet sentiment analysis with classifier ensembles
NFF Da Silva, ER Hruschka, ER Hruschka Jr
Decision support systems 66, 170-179, 2014
5842014
A survey and comparative study of tweet sentiment analysis via semi-supervised learning
NFFD Silva, LFS Coletta, ER Hruschka
ACM Computing Surveys (CSUR) 49 (1), 1-26, 2016
1392016
Combining classification and clustering for tweet sentiment analysis
LFS Coletta, NFF da Silva, ER Hruschka, ER Hruschka
2014 Brazilian conference on intelligent systems, 210-215, 2014
1332014
Using unsupervised information to improve semi-supervised tweet sentiment classification
NFF da Silva, LFS Coletta, ER Hruschka, ER Hruschka Jr
Information Sciences 355, 348-365, 2016
942016
Portuguese named entity recognition using lstm-crf
PV Quinta de Castro, N Félix Felipe da Silva, A da Silva Soares
Computational Processing of the Portuguese Language: 13th International …, 2018
312018
Análise de sentimentos em textos curtos provenientes de redes sociais
NFF Silva
Universidade de São Paulo, 2016
252016
Inf-hateval at semeval-2019 task 5: Convolutional neural networks for hate speech detection against women and immigrants on twitter
A Ribeiro, N Silva
Proceedings of the 13th International Workshop on Semantic Evaluation, 420-425, 2019
242019
INF-UFG at FiQA 2018 Task 1: predicting sentiments and aspects on financial tweets and news headlines
D de França Costa, NFF da Silva
Companion Proceedings of the The Web Conference 2018, 1967-1971, 2018
232018
Biocom usp: Tweet sentiment analysis with adaptive boosting ensemble
N Silva, E Hruschka, E Hruschka
Proceedings of the 8th International Workshop on Semantic Evaluation …, 2014
232014
Evaluating topic models in Portuguese political comments about bills from brazil’s chamber of deputies
NFF Silva, MCR Silva, FSF Pereira, JPM Tarrega, JVP Beinotti, ...
Intelligent Systems: 10th Brazilian Conference, BRACIS 2021, Virtual Event …, 2021
222021
Machine learning approach for automatic recognition of tomato-pollinating bees based on their buzzing-sounds
AP Ribeiro, NFF da Silva, FN Mesquita, PCS Araújo, TC Rosa, ...
PLoS computational biology 17 (9), e1009426, 2021
212021
Cprefminer: An algorithm for mining user contextual preferences based on bayesian networks
S De Amo, MLP Bueno, G Alves, NF Silva
2012 IEEE 24th International Conference on Tools with Artificial …, 2012
182012
Mining user contextual preferences
S de Amo, MLP Bueno, G Alves, NF Silva
Journal of Information and Data Management 4 (1), 37-37, 2013
162013
UlyssesNER-Br: a corpus of Brazilian legislative documents for named entity recognition
HO Albuquerque, R Costa, G Silvestre, E Souza, NFF da Silva, D Vitório, ...
International Conference on Computational Processing of the Portuguese …, 2022
152022
Multilingual Transformer Ensembles for Portuguese Natural Language Tasks.
RC Rodrigues, JR da Silva, PVQ de Castro, NFF da Silva, ...
ASSIN@ STIL, 27-38, 2019
152019
Sentiment analysis with genetic programming
AB Junior, NFF da Silva, TC Rosa, CGC Junior
Information Sciences 562, 116-135, 2021
92021
Portuguese language models and word embeddings: evaluating on semantic similarity tasks
RC Rodrigues, J Rodrigues, PVQ de Castro, NFF da Silva, A Soares
Computational Processing of the Portuguese Language: 14th International …, 2020
92020
Contextual Representations and Semi-Supervised Named Entity Recognition for Portuguese Language.
PVQ de Castro, NFF da Silva, A da Silva Soares
IberLEF@ SEPLN, 411-420, 2019
92019
Automatic acoustic recognition of pollinating bee species can be highly improved by Deep Learning models accompanied by pre-training and strong data augmentation
AIS Ferreira, NFF Da Silva, FN Mesquita, TC Rosa, VH Monzón, ...
Frontiers in Plant Science 14, 1081050, 2023
82023
Success prediction of crowdfunding campaigns: a two-phase modeling
L Silva, NF Silva, T Rosa
International Journal of Web Information Systems 16 (4), 387-412, 2020
72020
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Articles 1–20