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researcher

M. Truşcǎ

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL3

identity via Semantic Scholar / OpenAlex

most citedHybrid Tiled Convolutional Neural Networks for Text Sentiment Classification

1 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2020

Pattern Learning for Detecting Defect Reports and Improvement Requests in App Reviews

Gino V. H. Mangnoesing, Maria Mihaela Trusca, Flavius Frasincar

Online reviews are an important source of feedback for understanding customers. In this study, we follow novel approaches that target this absence of actionable insights by classif…

cs.CL2020★ 1 cited

A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention

Maria Mihaela Trusca, Daan Wassenberg, Flavius Frasincar +1

The Web has become the main platform where people express their opinions about entities of interest and their associated aspects. Aspect-Based Sentiment Analysis (ABSA) aims to aut…

cs.CL2020★ 1 cited

Hybrid Tiled Convolutional Neural Networks for Text Sentiment Classification

Maria Mihaela Trusca, Gerasimos Spanakis

The tiled convolutional neural network (tiled CNN) has been applied only to computer vision for learning invariances. We adjust its architecture to NLP to improve the extraction of…

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