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 *

112 related articles for article (PubMed ID: 37667031)

  • 1. Sentence-level sentiment analysis based on supervised gradual machine learning.
    Su J; Chen Q; Wang Y; Zhang L; Pan W; Li Z
    Sci Rep; 2023 Sep; 13(1):14500. PubMed ID: 37667031
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An ensemble deep learning classifier for sentiment analysis on code-mix Hindi-English data.
    Pradhan R; Sharma DK
    Soft comput; 2022 Apr; ():1-18. PubMed ID: 35493275
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Deep semi-supervised learning via dynamic anchor graph embedding in latent space.
    Tu E; Wang Z; Yang J; Kasabov N
    Neural Netw; 2022 Feb; 146():350-360. PubMed ID: 34929418
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Knowledge-Fusion-Based Iterative Graph Structure Learning Framework for Implicit Sentiment Identification.
    Zhao Y; Mamat M; Aysa A; Ubul K
    Sensors (Basel); 2023 Jul; 23(14):. PubMed ID: 37514553
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Exploration of chemical space with partial labeled noisy student self-training and self-supervised graph embedding.
    Liu Y; Lim H; Xie L
    BMC Bioinformatics; 2022 May; 23(Suppl 3):158. PubMed ID: 35501680
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Semantic relational machine learning model for sentiment analysis using cascade feature selection and heterogeneous classifier ensemble.
    Yenkikar A; Babu CN; Hemanth DJ
    PeerJ Comput Sci; 2022; 8():e1100. PubMed ID: 36262147
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Performance analysis of aspect-level sentiment classification task based on different deep learning models.
    Cao F; Huang X
    PeerJ Comput Sci; 2023; 9():e1578. PubMed ID: 37869455
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Topic sentiment analysis based on deep neural network using document embedding technique.
    Seilsepour A; Ravanmehr R; Nassiri R
    J Supercomput; 2023 Jun; ():1-39. PubMed ID: 37359345
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Semi Supervised Learning with Deep Embedded Clustering for Image Classification and Segmentation.
    Enguehard J; O'Halloran P; Gholipour A
    IEEE Access; 2019; 7():11093-11104. PubMed ID: 31588387
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. CoAID-DEEP: An Optimized Intelligent Framework for Automated Detecting COVID-19 Misleading Information on Twitter.
    Abdelminaam DS; Ismail FH; Taha M; Taha A; Houssein EH; Nabil A
    IEEE Access; 2021; 9():27840-27867. PubMed ID: 34786308
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. A unified semi-supervised model with joint estimation of graph, soft labels and latent subspace.
    Dornaika F; Baradaaji A
    Neural Netw; 2023 Sep; 166():248-259. PubMed ID: 37523927
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. A Lightweight Sentiment Analysis Framework for a Micro-Intelligent Terminal.
    Wei L; Wang Z; Xu J; Shi Y; Wang Q; Shi L; Tao Y; Gao Y
    Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679538
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Weakly Semi-supervised phenotyping using Electronic Health records.
    Nogues IE; Wen J; Lin Y; Liu M; Tedeschi SK; Geva A; Cai T; Hong C
    J Biomed Inform; 2022 Oct; 134():104175. PubMed ID: 36064111
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Improving Sentiment Analysis for Social Media Applications Using an Ensemble Deep Learning Language Model.
    Alsayat A
    Arab J Sci Eng; 2022; 47(2):2499-2511. PubMed ID: 34660170
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improving the Polarity of Text through word2vec Embedding for Primary Classical Arabic Sentiment Analysis.
    Aoumeur NE; Li Z; Alshari EM
    Neural Process Lett; 2023 Jan; ():1-16. PubMed ID: 36714004
    [TBL] [Abstract][Full Text] [Related]  

  • 20. GNDAN: Graph Navigated Dual Attention Network for Zero-Shot Learning.
    Chen S; Hong Z; Xie G; Peng Q; You X; Ding W; Shao L
    IEEE Trans Neural Netw Learn Syst; 2024 Apr; 35(4):4516-4529. PubMed ID: 35507624
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.