787 related articles for article (PubMed ID: 34933273)
1. Twitter sentiment analysis from Iran about COVID 19 vaccine.
Bokaee Nezhad Z; Deihimi MA
Diabetes Metab Syndr; 2022 Jan; 16(1):102367. PubMed ID: 34933273
[TBL] [Abstract][Full Text] [Related]
2. Analyzing Iranian opinions toward COVID-19 vaccination.
Nezhad ZB; Deihimi MA
IJID Reg; 2022 Jun; 3():204-210. PubMed ID: 35720142
[TBL] [Abstract][Full Text] [Related]
3. 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; 24(3):e35016. PubMed ID: 35275835
[TBL] [Abstract][Full Text] [Related]
4. Using Twitter for sentiment analysis towards AstraZeneca/Oxford, Pfizer/BioNTech and Moderna COVID-19 vaccines.
Marcec R; Likic R
Postgrad Med J; 2022 Jul; 98(1161):544-550. PubMed ID: 34373343
[TBL] [Abstract][Full Text] [Related]
5. COVID-19 Vaccine-Related Discussion on Twitter: Topic Modeling and Sentiment Analysis.
Lyu JC; Han EL; Luli GK
J Med Internet Res; 2021 Jun; 23(6):e24435. PubMed ID: 34115608
[TBL] [Abstract][Full Text] [Related]
6. 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; 24(2):e31726. PubMed ID: 34783665
[TBL] [Abstract][Full Text] [Related]
7. Uncovering the Reasons Behind COVID-19 Vaccine Hesitancy in Serbia: Sentiment-Based Topic Modeling.
Ljajić A; Prodanović N; Medvecki D; Bašaragin B; Mitrović J
J Med Internet Res; 2022 Nov; 24(11):e42261. PubMed ID: 36301673
[TBL] [Abstract][Full Text] [Related]
8. 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; 23(5):e26953. PubMed ID: 33886492
[TBL] [Abstract][Full Text] [Related]
9. A Comprehensive Analysis of COVID-19 Vaccine Discourse by Vaccine Brand on Twitter in Korea: Topic and Sentiment Analysis.
Park S; Suh YK
J Med Internet Res; 2023 Jan; 25():e42623. PubMed ID: 36603153
[TBL] [Abstract][Full Text] [Related]
10. Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study.
Hussain A; Tahir A; Hussain Z; Sheikh Z; Gogate M; Dashtipour K; Ali A; Sheikh A
J Med Internet Res; 2021 Apr; 23(4):e26627. PubMed ID: 33724919
[TBL] [Abstract][Full Text] [Related]
11. Public Perception of SARS-CoV-2 Vaccinations on Social Media: Questionnaire and Sentiment Analysis.
Roe C; Lowe M; Williams B; Miller C
Int J Environ Res Public Health; 2021 Dec; 18(24):. PubMed ID: 34948638
[TBL] [Abstract][Full Text] [Related]
12. 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; 221():106838. PubMed ID: 35567863
[TBL] [Abstract][Full Text] [Related]
13. Aspect Based Twitter Sentiment Analysis on Vaccination and Vaccine Types in COVID-19 Pandemic With Deep Learning.
Aygun I; Kaya B; Kaya M
IEEE J Biomed Health Inform; 2022 May; 26(5):2360-2369. PubMed ID: 34874877
[TBL] [Abstract][Full Text] [Related]
14. People's Willingness to Vaccinate Against COVID-19 Despite Their Safety Concerns: Twitter Poll Analysis.
Eibensteiner F; Ritschl V; Nawaz FA; Fazel SS; Tsagkaris C; Kulnik ST; Crutzen R; Klager E; Völkl-Kernstock S; Schaden E; Kletecka-Pulker M; Willschke H; Atanasov AG
J Med Internet Res; 2021 Apr; 23(4):e28973. PubMed ID: 33872185
[TBL] [Abstract][Full Text] [Related]
15. Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis.
Niu Q; Liu J; Kato M; Shinohara Y; Matsumura N; Aoyama T; Nagai-Tanima M
JMIR Infodemiology; 2022; 2(1):e32335. PubMed ID: 35578643
[TBL] [Abstract][Full Text] [Related]
16. 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; 24(5):e35115. PubMed ID: 35446781
[TBL] [Abstract][Full Text] [Related]
17. 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; 25():e42671. PubMed ID: 36795467
[TBL] [Abstract][Full Text] [Related]
18. Deep Learning-Based Sentiment Analysis of COVID-19 Vaccination Responses from Twitter Data.
Alam KN; Khan MS; Dhruba AR; Khan MM; Al-Amri JF; Masud M; Rawashdeh M
Comput Math Methods Med; 2021; 2021():4321131. PubMed ID: 34899965
[TBL] [Abstract][Full Text] [Related]
19. 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; 23(10):e30765. PubMed ID: 34581682
[TBL] [Abstract][Full Text] [Related]
20. Exploring Coronavirus Disease 2019 Vaccine Hesitancy on Twitter Using Sentiment Analysis and Natural Language Processing Algorithms.
Bari A; Heymann M; Cohen RJ; Zhao R; Szabo L; Apas Vasandani S; Khubchandani A; DiLorenzo M; Coffee M
Clin Infect Dis; 2022 May; 74(Suppl_3):e4-e9. PubMed ID: 35568473
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
