Ikuti
Tin Vo
Tin Vo
SDS at Royal Bank of Canada
Email yang diverifikasi di rbc.com - Beranda
Judul
Dikutip oleh
Dikutip oleh
Tahun
Target-dependent twitter sentiment classification with rich automatic features.
DT Vo, Y Zhang
IJCAI, 1347-1353, 2015
4592015
Gated neural networks for targeted sentiment analysis
M Zhang, Y Zhang, DT Vo
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
3322016
Neural networks for open domain targeted sentiment
M Zhang, Y Zhang, DT Vo
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
2162015
Context-sensitive lexicon features for neural sentiment analysis
Z Teng, DT Vo, Y Zhang
Proceedings of the 2016 conference on empirical methods in natural language …, 2016
1772016
Don’t count, predict! an automatic approach to learning sentiment lexicons for short text
DT Vo, Y Zhang
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
862016
Two new large corpora for Vietnamese aspect-based sentiment analysis at sentence level
D Van Thin, NLT Nguyen, TM Truong, LS Le, DT Vo
Transactions on Asian and Low-Resource Language Information Processing 20 (4 …, 2021
262021
A Vietnamese-English neural machine translation system
TH Nguyen, TDH Nguyen, D Phung, DTC Nguyen, HM Tran, M Luong, ...
Annual Conference of the International Speech Communication Association (was …, 2022
172022
Language identification on massive datasets of short messages using an attention mechanism CNN
DT Vo, R Khoury
2020 IEEE/ACM International Conference on Advances in Social Networks …, 2020
92020
Vietnamese Speech-Based Question Answering over Car Manuals
TD Vo, M Luong, DM Le, H Tran, N Do, TDH Nguyen, T Nguyen, H Bui, ...
Companion Proceedings of the 27th International Conference on Intelligent …, 2022
12022
Shallow Network with Rich Features for Text Classification
DT Vo, Y Zhang, X Zhu
19th International Conference on Computational Linguistics and Intelligent …, 2018
12018
Neural Networks for Sentiment Analysis
Y Zhang, DT Vo
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
12016
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