These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

127 related articles for article (PubMed ID: 38451928)

  • 1. Chinese text dual attention network for aspect-level sentiment classification.
    Sun X; Liu Z; Li H; Ying F; Tao Y
    PLoS One; 2024; 19(3):e0295331. PubMed ID: 38451928
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A BERT-Based Aspect-Level Sentiment Analysis Algorithm for Cross-Domain Text.
    Liu N; Zhao J
    Comput Intell Neurosci; 2022; 2022():8726621. PubMed ID: 35795761
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Block-level dependency syntax based model for end-to-end aspect-based sentiment analysis.
    Xiang Y; Zhang J; Guo J
    Neural Netw; 2023 Sep; 166():225-235. PubMed ID: 37515902
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Modeling Structured Dependency Tree with Graph Convolutional Networks for Aspect-Level Sentiment Classification.
    Zhao Q; Yang F; An D; Lian J
    Sensors (Basel); 2024 Jan; 24(2):. PubMed ID: 38257513
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Word distance assisted dual graph convolutional networks for accurate and fast aspect-level sentiment analysis.
    Jiao J; Wang H; Shen R; Lu Z
    Math Biosci Eng; 2024 Feb; 21(3):3498-3518. PubMed ID: 38549293
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Graph convolutional networks with hierarchical multi-head attention for aspect-level sentiment classification.
    Li X; Lu R; Liu P; Zhu Z
    J Supercomput; 2022; 78(13):14846-14865. PubMed ID: 35431451
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Research on sentiment classification for netizens based on the BERT-BiLSTM-TextCNN model.
    Jiang X; Song C; Xu Y; Li Y; Peng Y
    PeerJ Comput Sci; 2022; 8():e1005. PubMed ID: 35721405
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An Improved BERT and Syntactic Dependency Representation Model for Sentiment Analysis.
    Liu W; Yi J; Hu Z; Gao Y
    Comput Intell Neurosci; 2022; 2022():5754151. PubMed ID: 35571684
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Attention-Emotion-Enhanced Convolutional LSTM for Sentiment Analysis.
    Huang F; Li X; Yuan C; Zhang S; Zhang J; Qiao S
    IEEE Trans Neural Netw Learn Syst; 2022 Sep; 33(9):4332-4345. PubMed ID: 33600326
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Unifying aspect-based sentiment analysis BERT and multi-layered graph convolutional networks for comprehensive sentiment dissection.
    Aziz K; Ji D; Chakrabarti P; Chakrabarti T; Iqbal MS; Abbasi R
    Sci Rep; 2024 Jun; 14(1):14646. PubMed ID: 38918461
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Text Sentiment Analysis Based on a New Hybrid Network Model.
    Zhou Y; Zhang Q; Wang D; Gu X
    Comput Intell Neurosci; 2022; 2022():6774320. PubMed ID: 36619810
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multichannel Two-Dimensional Convolutional Neural Network Based on Interactive Features and Group Strategy for Chinese Sentiment Analysis.
    Wang L; Meng Z
    Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161459
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Network Public Opinion Risk Prediction and Judgment Based on Deep Learning: A Model of Text Sentiment Analysis.
    Yang H
    Comput Intell Neurosci; 2022; 2022():1221745. PubMed ID: 36444309
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Pedagogical sentiment analysis based on the BERT-CNN-BiGRU-attention model in the context of intercultural communication barriers.
    Bi X; Zhang T
    PeerJ Comput Sci; 2024; 10():e2166. PubMed ID: 38983236
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Two-Level LSTM for Sentiment Analysis With Lexicon Embedding and Polar Flipping.
    Wu O; Yang T; Li M; Li M
    IEEE Trans Cybern; 2022 May; 52(5):3867-3879. PubMed ID: 32966226
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Dual syntax aware graph attention networks with prompt for aspect-based sentiment analysis.
    Feng A; Liu T; Li X; Jia K; Gao Z
    Sci Rep; 2024 Oct; 14(1):23528. PubMed ID: 39384843
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Dual graph convolutional networks integrating affective knowledge and position information for aspect sentiment triplet extraction.
    Li Y; He Q; Zhang D
    Front Neurorobot; 2023; 17():1193011. PubMed ID: 37663763
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Position-Enhanced Multi-Head Self-Attention Based Bidirectional Gated Recurrent Unit for Aspect-Level Sentiment Classification.
    Li X; Ding L; Du Y; Fan Y; Shen F
    Front Psychol; 2021; 12():799926. PubMed ID: 35145460
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multi-level aspect based sentiment classification of Twitter data: using hybrid approach in deep learning.
    Janjua SH; Siddiqui GF; Sindhu MA; Rashid U
    PeerJ Comput Sci; 2021; 7():e433. PubMed ID: 33954232
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Interactive Dual Attention Network for Text Sentiment Classification.
    Zhu Y; Zheng W; Tang H
    Comput Intell Neurosci; 2020; 2020():8858717. PubMed ID: 33204245
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.