Jorge Balazs-Thenot
Jorge Balazs-Thenot
Applied Scientist, Amazon
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
Opinion Mining and Information Fusion: A survey
JA Balazs, JD Velásquez
Information Fusion 27, 95-110, 2016
1852016
Combining eye tracking, pupil dilation and EEG analysis for predicting web users click intention
G Slanzi, JA Balazs, JD Velásquez
Information Fusion 35, 51-57, 2017
452017
Deep contextualized word representations for detecting sarcasm and irony
S Ilić, E Marrese-Taylor, JA Balazs, Y Matsuo
Workshop Proc. EMNLP, 2018
222018
Refining Raw Sentence Representations for Textual Entailment Recognition via Attention
JA Balazs, E Marrese-Taylor, P Loyola, Y Matsuo
Proceedings of the 2nd Workshop on Evaluating Vector Space Representations …, 2017
212017
Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNN
E Marrese-Taylor, JA Balazs, Y Matsuo
Workshop Proc. EMNLP, 2017
112017
IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations
JA Balazs, E Marrese-Taylor, Y Matsuo
Workshop Proc. EMNLP, 2018
72018
Predicting Web user click intention using pupil dilation and electroencephalogram analysis
G Slanzi, J Balazs, JD Velásquez
2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 417-420, 2016
62016
Content Aware Source Code Change Description Generation
P Loyola, E Marrese-Taylor, J Balazs, Y Matsuo, F Satoh
Proc. INLG, 119-128, 2018
52018
Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study
JA Balazs, Y Matsuo
Student Research Workshop Proc. NAACL, 2019
42019
IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets
E Marrese-Taylor, S Ilic, JA Balazs, Y Matsuo, H Prendinger
Workshop Proc. EMNLP, 2018
32018
A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews
E Marrese-Taylor, C Rodriguez-Opazo, JA Balazs, S Gould, Y Matsuo
arXiv preprint arXiv:2005.13362, 2020
12020
Design, Development and Implementation of a Web Opinion Mining Application for Identifying Twitter Users’ Sentiment Towards a Chilean Retail Company
JA Balazs
University of Chile, 2015
2015
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Articles 1–12