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Maria Trusca
Maria Trusca
Dirección de correo verificada de kuleuven.be
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A hybrid approach for aspect-based sentiment analysis using deep contextual word embeddings and hierarchical attention
MM Truşcǎ, D Wassenberg, F Frasincar, R Dekker
Web Engineering: 20th International Conference, ICWE 2020, Helsinki, Finland …, 2020
472020
Data augmentation in a hybrid approach for aspect-based sentiment analysis
T Liesting, F Frasincar, MM Truşcă
Proceedings of the 36th Annual ACM Symposium on Applied Computing, 828-835, 2021
212021
Efficiency of SVM classifier with Word2Vec and Doc2Vec models
MM Truşcă
Proceedings of the International Conference on Applied Statistics 1 (1), 496-503, 2019
202019
Survey on aspect detection for aspect-based sentiment analysis
MM Truşcǎ, F Frasincar
Artificial Intelligence Review 56 (5), 3797-3846, 2023
162023
Hybrid Tiled Convolutional Neural Networks (HTCNN) Text Sentiment Classification.
MM Trusca, G Spanakis
ICAART (2), 506-513, 2020
7*2020
Explaining a neural attention model for aspect-based sentiment classification using diagnostic classification
L Meijer, F Frasincar, MM Truşcă
Proceedings of the 36th Annual ACM Symposium on Applied Computing, 821-827, 2021
52021
POST-PROCESSING AND DIMENSIONALITY REDUCTION FOR EXTREME LEARNING MACHINE IN TEXT CLASSIFICATION.
MM TRUŞCĂ, A Aldea, SE GRĂDINARU, C ALBU
Economic Computation & Economic Cybernetics Studies & Research 55 (4), 2021
42021
A cross-domain aspect-based sentiment classification by masking the domain-specific words
J Lee, F Frasincar, MM Trusca
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 1595-1602, 2023
22023
Modeling Second Language Acquisition with pre-trained neural language models
ÁJJ Palenzuela, F Frasincar, MM Truşcǎ
Expert Systems with Applications 207, 117871, 2022
22022
Explaining a deep neural model with hierarchical attention for aspect-based sentiment classification using diagnostic classifiers
K Geed, F Frasincar, MM Truşcǎ
International conference on web engineering, 268-282, 2022
22022
Pattern learning for detecting defect reports and improvement requests in app reviews
GVH Mangnoesing, MM Truşcǎ, F Frasincar
Natural Language Processing and Information Systems: 25th International …, 2020
12020
Interpretation modeling: Social grounding of sentences by reasoning over their implicit moral judgments
L Allein, MM Truşcǎ, MF Moens
arXiv preprint arXiv:2312.03726, 2023
2023
DIWS-LCR-Rot-hop++: A Domain-Independent Word Selector for Cross-Domain Aspect-Based Sentiment Classification
J Lee, F Frasincar, MM Truşcă
ACM SIGAPP Applied Computing Review 23 (3), 19-31, 2023
2023
Sequence-to-Sequence Spanish Pre-trained Language Models
V Araujo, MM Trusca, R Tufiño, MF Moens
arXiv preprint arXiv:2309.11259, 2023
2023
Diagnostic Classifiers for Explaining a Neural Model with Hierarchical Attention for Aspect-based Sentiment Classification
K Geed, F Frasincar, MM Trusca
Journal of Web Engineering 22 (1), 147-174, 2023
2023
Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis
R Hochstenbach, F Frasincar, MM Truşcǎ
Web Information Systems Engineering–WISE 2021: 22nd International Conference …, 2021
2021
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