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 *

91 related articles for article (PubMed ID: 37018666)

  • 1. Building Fake Review Detection Model Based on Sentiment Intensity and PU Learning.
    Shunxiang Z; Aoqiang Z; Guangli Z; Zhongliang W; KuanChing L
    IEEE Trans Neural Netw Learn Syst; 2023 Oct; 34(10):6926-6939. PubMed ID: 37018666
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A network-based positive and unlabeled learning approach for fake news detection.
    de Souza MC; Nogueira BM; Rossi RG; Marcacini RM; Dos Santos BN; Rezende SO
    Mach Learn; 2022; 111(10):3549-3592. PubMed ID: 34815619
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The influence of fake accounts on sentiment analysis related to COVID-19 in Indonesia.
    Pratama RP; Tjahyanto A
    Procedia Comput Sci; 2022; 197():143-150. PubMed ID: 35043068
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Graph Learning for Fake Review Detection.
    Yu S; Ren J; Li S; Naseriparsa M; Xia F
    Front Artif Intell; 2022; 5():922589. PubMed ID: 35795012
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Fake News Detection Model on Social Media by Leveraging Sentiment Analysis of News Content and Emotion Analysis of Users' Comments.
    Hamed SK; Ab Aziz MJ; Yaakub MR
    Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850346
    [TBL] [Abstract][Full Text] [Related]  

  • 6. How to detect fake online physician reviews: A deep learning approach.
    Zhao Y; Li T; Yuan Q; Deng S
    Digit Health; 2024; 10():20552076241277171. PubMed ID: 39224794
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Fake news detection in social media based on sentiment analysis using classifier techniques.
    Balshetwar SV; Rs A; R DJ
    Multimed Tools Appl; 2023 Mar; ():1-31. PubMed ID: 37362674
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The importance of behavioral data to identify online fake reviews for tourism businesses: a systematic review.
    Reyes-Menendez A; Saura JR; Filipe F
    PeerJ Comput Sci; 2019; 5():e219. PubMed ID: 33816872
    [TBL] [Abstract][Full Text] [Related]  

  • 9. hPSD: A Hybrid PU-Learning-Based Spammer Detection Model for Product Reviews.
    Wu Z; Cao J; Wang Y; Wang Y; Zhang L; Wu J
    IEEE Trans Cybern; 2020 Apr; 50(4):1595-1606. PubMed ID: 30403648
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Supervised ensemble learning methods towards automatically filtering Urdu fake news within social media.
    Akhter MP; Zheng J; Afzal F; Lin H; Riaz S; Mehmood A
    PeerJ Comput Sci; 2021; 7():e425. PubMed ID: 33817059
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Arabic Fake News Detection Based on Textual Analysis.
    Himdi H; Weir G; Assiri F; Al-Barhamtoshy H
    Arab J Sci Eng; 2022; 47(8):10453-10469. PubMed ID: 35194540
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Confounds and overestimations in fake review detection: Experimentally controlling for product-ownership and data-origin.
    Soldner F; Kleinberg B; Johnson SD
    PLoS One; 2022; 17(12):e0277869. PubMed ID: 36477257
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Positive-unlabeled learning in bioinformatics and computational biology: a brief review.
    Li F; Dong S; Leier A; Han M; Guo X; Xu J; Wang X; Pan S; Jia C; Zhang Y; Webb GI; Coin LJM; Li C; Song J
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34729589
    [TBL] [Abstract][Full Text] [Related]  

  • 14. LMGAN: Linguistically Informed Semi-Supervised GAN with Multiple Generators.
    Cho W; Choi Y
    Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433358
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fake news, disinformation and misinformation in social media: a review.
    Aïmeur E; Amri S; Brassard G
    Soc Netw Anal Min; 2023; 13(1):30. PubMed ID: 36789378
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Detecting fake-review buyers using network structure: Direct evidence from Amazon.
    He S; Hollenbeck B; Overgoor G; Proserpio D; Tosyali A
    Proc Natl Acad Sci U S A; 2022 Nov; 119(47):e2211932119. PubMed ID: 36378645
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Novel approaches to fake news and fake account detection in OSNs: user social engagement and visual content centric model.
    Uppada SK; Manasa K; Vidhathri B; Harini R; Sivaselvan B
    Soc Netw Anal Min; 2022; 12(1):52. PubMed ID: 35573810
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Sentiment analysis for e-commerce product reviews by deep learning model of Bert-BiGRU-Softmax.
    Liu Y; Lu J; Yang J; Mao F
    Math Biosci Eng; 2020 Nov; 17(6):7819-7837. PubMed ID: 33378922
    [TBL] [Abstract][Full Text] [Related]  

  • 19. SemSeq4FD: Integrating global semantic relationship and local sequential order to enhance text representation for fake news detection.
    Wang Y; Wang L; Yang Y; Lian T
    Expert Syst Appl; 2021 Mar; 166():114090. PubMed ID: 33041529
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Covid-19 fake news sentiment analysis.
    Iwendi C; Mohan S; Khan S; Ibeke E; Ahmadian A; Ciano T
    Comput Electr Eng; 2022 Jul; 101():107967. PubMed ID: 35474674
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.