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PUBMED FOR HANDHELDS

Journal Abstract Search


1543 related items for PubMed ID: 35275835

  • 1. Tracking Public Attitudes Toward COVID-19 Vaccination on Tweets in Canada: Using Aspect-Based Sentiment Analysis.
    Jang H, Rempel E, Roe I, Adu P, Carenini G, Janjua NZ.
    J Med Internet Res; 2022 Mar 29; 24(3):e35016. PubMed ID: 35275835
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  • 2. COVID-19 Vaccine Tweets After Vaccine Rollout: Sentiment-Based Topic Modeling.
    Huangfu L, Mo Y, Zhang P, Zeng DD, He S.
    J Med Internet Res; 2022 Feb 08; 24(2):e31726. PubMed ID: 34783665
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  • 4. Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis.
    Jang H, Rempel E, Roth D, Carenini G, Janjua NZ.
    J Med Internet Res; 2021 Feb 10; 23(2):e25431. PubMed ID: 33497352
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  • 7. Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis.
    Kwok SWH, Vadde SK, Wang G.
    J Med Internet Res; 2021 May 19; 23(5):e26953. PubMed ID: 33886492
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  • 8. Social media sentiment analysis to monitor the performance of vaccination coverage during the early phase of the national COVID-19 vaccine rollout.
    Rahmanti AR, Chien CH, Nursetyo AA, Husnayain A, Wiratama BS, Fuad A, Yang HC, Li YJ.
    Comput Methods Programs Biomed; 2022 Jun 19; 221():106838. PubMed ID: 35567863
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  • 12. Topics and Sentiments of Public Concerns Regarding COVID-19 Vaccines: Social Media Trend Analysis.
    Monselise M, Chang CH, Ferreira G, Yang R, Yang CC.
    J Med Internet Res; 2021 Oct 21; 23(10):e30765. PubMed ID: 34581682
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  • 13. Monitoring User Opinions and Side Effects on COVID-19 Vaccines in the Twittersphere: Infodemiology Study of Tweets.
    Portelli B, Scaboro S, Tonino R, Chersoni E, Santus E, Serra G.
    J Med Internet Res; 2022 May 13; 24(5):e35115. PubMed ID: 35446781
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  • 14. Public attitudes on social media toward vaccination before and during the COVID-19 pandemic.
    Shah U, Biswas MR, Ali R, Ali H, Shah Z.
    Hum Vaccin Immunother; 2022 Nov 30; 18(6):2101835. PubMed ID: 35920771
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  • 15. Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries.
    Wang H, Li Y, Hutch MR, Kline AS, Otero S, Mithal LB, Miller ES, Naidech A, Luo Y.
    J Am Med Inform Assoc; 2023 Apr 19; 30(5):923-931. PubMed ID: 36821435
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  • 16. Fine-tuned Sentiment Analysis of COVID-19 Vaccine-Related Social Media Data: Comparative Study.
    Melton CA, White BM, Davis RL, Bednarczyk RA, Shaban-Nejad A.
    J Med Internet Res; 2022 Oct 17; 24(10):e40408. PubMed ID: 36174192
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  • 17. Artificial Intelligence-Enabled Social Media Analysis for Pharmacovigilance of COVID-19 Vaccinations in the United Kingdom: Observational Study.
    Hussain Z, Sheikh Z, Tahir A, Dashtipour K, Gogate M, Sheikh A, Hussain A.
    JMIR Public Health Surveill; 2022 May 27; 8(5):e32543. PubMed ID: 35144240
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  • 18. Public Sentiment Towards Vaccination After COVID-19 Outbreak in the Arab World.
    Biswas R, Alam T, Househ M, Shah Z.
    Stud Health Technol Inform; 2022 Jan 14; 289():57-60. PubMed ID: 35062091
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  • 20. Evolution of Public Attitudes and Opinions Regarding COVID-19 Vaccination During the Vaccine Campaign in China: Year-Long Infodemiology Study of Weibo Posts.
    Hong Y, Xie F, An X, Lan X, Liu C, Yan L, Zhang H.
    J Med Internet Res; 2023 Feb 16; 25():e42671. PubMed ID: 36795467
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