Huyen Trang Phan

Orcid: 0000-0002-7466-9562

Affiliations:
  • Yeungnam University, Gyeongsan, South Korea


According to our database1, Huyen Trang Phan authored at least 25 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
The Computational Complexity of Hierarchical Clustering Algorithms for Community Detection: A Review.
Vietnam. J. Comput. Sci., November, 2023

M2SA: a novel dataset for multi-level and multi-domain sentiment analysis.
J. Inf. Telecommun., October, 2023

Fake news detection: A survey of graph neural network methods.
Appl. Soft Comput., May, 2023

Aspect-level sentiment analysis: A survey of graph convolutional network methods.
Inf. Fusion, 2023

Deep-Learning- and GCN-Based Aspect-Level Sentiment Analysis Methods on Balanced and Unbalanced Datasets.
Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

2022
Convolutional attention neural network over graph structures for improving the performance of aspect-level sentiment analysis.
Inf. Sci., 2022

Aspect-Level Sentiment Analysis Using CNN Over BERT-GCN.
IEEE Access, 2022

Content-Context-Based Graph Convolutional Network for Fake News Detection.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

Sentence-level Sentiment Analysis Using GCN on Contextualized Word Representations.
Proceedings of the Computational Science - ICCS 2022, 2022

ETop3PPE: EPOCh's Top-Three Prediction Probability Ensemble Method for Deep Learning Classification Models.
Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2021
An approach for a decision-making support system based on measuring the user satisfaction level on Twitter.
Inf. Sci., 2021

Determining 2-Optimality Consensus for DNA Structure.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

A Method for Improving Word Representation Using Synonym Information.
Proceedings of the Computational Science - ICCS 2021, 2021

Tweet Sentiment Analysis for Predicting the Symptoms Effect Level Regarding COVID-19.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020
Improving the Performance of Sentiment Analysis of Tweets Containing Fuzzy Sentiment Using the Feature Ensemble Model.
IEEE Access, 2020

A New Approach for Predicting an Important User on a Topic on Twitter.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020

A Framework for Detecting User's Psychological Tendencies on Twitter Based on Tweets Sentiment Analysis.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

Detecting the Degree of Risk in Online Market Based on Satisfaction of Twitter Users.
Proceedings of the Computational Collective Intelligence - 12th International Conference, 2020

2019
A sentiment analysis method of objects by integrating sentiments from tweets.
J. Intell. Fuzzy Syst., 2019

A Method for Detecting and Analyzing the Sentiment of Tweets Containing Fuzzy Sentiment Phrases.
Proceedings of the IEEE International Symposium on INnovations in Intelligent SysTems and Applications, 2019

Decision-Making Support Method Based on Sentiment Analysis of Objects and Binary Decision Tree Mining.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019

A Method for Detecting and Analyzing the Sentiment of Tweets Containing Conditional Sentences.
Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019

2018
A Tweet Summarization Method Based on Maximal Association Rules.
Proceedings of the Computational Collective Intelligence - 10th International Conference, 2018

Tweet Integration by Finding the Shortest Paths on a Word Graph.
Proceedings of the Modern Approaches for Intelligent Information and Database Systems,, 2018

An Approach for Recommending Group Experts on Question and Answering Sites.
Proceedings of the Modern Approaches for Intelligent Information and Database Systems,, 2018


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