Maria M. Trusca

About



Ph.D Student - Bucharest University of Economic Studies

maria.trusca@csie.ase.ro

Google Scholar



With a background in Economic Cybernetics, currently I am doing a PhD Bucharest University of Economic Studies. My research topic is related to natural language processing, especially textual classification and sentiment analysis.

Education

  • 2017-present: Ph.D. Research Topic Consumer Behavior Modeling using textual analysis (Bucharest University of Economic Studies, Romania).

  • 2015-2017: M.Sc. Cybernetics and Quantitative Economics (Bucharest University of Economic Studies, Romania).

  • 2012-2017: B.Sc. Economic Cybernetics, Statistics and Informatics (Bucharest University of Economic Studies, Romania).

Publications

  • Kunal Geed, Flavius Frasincar, Maria Trusca: Explaining a Deep Neural Model with Hierarchical Attention for Aspect-Based Sentiment Classification Using Diagnostic Classifiers, 22th International Conference on Web Engineering (ICWE 2022), Virtual Conference, 5-8 July 2022. (pdf )

  • Ron Hochstenbach, Flavius Frasincar, Maria Trusca: Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis, 22nd International Conference on Web Information Systems Engineering (WISE 2021), Virtual Conference, 26-29 October 2021. (pdf )

  • Lisa Meijer, Flavius Frasincar, Maria Trusca: Explaining a Neural Attention Model for Aspect-Based Sentiment Classification Using Diagnostic Classification. 36th ACM / SIGAPP Symposium On Applied Computing (SAC 2021), Virtual Conference, 22-26 March 2021. (pdf )

  • Tomas Liesting, Flavius Frasincar, Maria Trusca: Data Augmentation in a Hybrid Approach for Aspect-Based Sentiment Analysis. 36th ACM / SIGAPP Symposium On Applied Computing (SAC 2021), Virtual Conference, 22-26 March 2021. (pdf )

  • Maria Mihaela Trusca, Aldea Anamaria, Simona Elena Gradinaru, Crisan Albu: Post-Processing And Dimensionality Reduction For Extreme Learning Machine, Economic Computation And Economic Cybernetics Studies And Research, 55.4, 2021. (pdf )

  • Gino V.H. Mangnoesing, Maria Trusca, Flavius Frasincar: Pattern Learning for Detecting Defect Reports and Improvement Requests in App Reviews, 25th International Conference on Natural Language & Information Systems (NLDB 2020), Virtual Conference, 24-26 June 2020. (pdf )

  • Maria Trusca, Daan Wassenberg, Flavius Frasincar, Rommert Dekker: A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention, 20th International Conference on Web Engineering (ICWE 2020), Virtual Conference, 9-12 June 2020. (pdf )

  • Maria Trusca, Gerasimos Spanakis: Hybrid Tiled Convolutional Neural Networks (HTCNN) for Text Sentiment Classification, 12th International Conference on Agents and Artificial Intelligence (ICAART 2020), Valletta, Malta, 22-24 February 2020. (pdf )

  • Daan Wassenberg, Maria Trusca, Flavius Frasincar: A Two-Step Approach for Aspect-Based Sentiment Analysis Using Context-Dependent Word Embeddings, Dutch-Belgian DataBase Day (DBDBD 2019), 's-Hertogenbosch, the Netherlands, 11 December 2019. (pdf )

  • Maria Trusca: Efficiency of SVM Classifier with Word2Vec and Doc2Vec Models. 13th International Conference on Applied Statistics (ICAS 2019), Bucharest, Romania, 7-8 June 2019. (pdf )

  • Iuliana Coman, Maria Trusca: Latent Dirichlet Allocation A Model Used for both Text Classification and Lower Dimensional Representation, 17th International Conference on Informatics in Economy (IE 2018), Iasi, Romania, 17-20 May 2018. (pdf )