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.
250 related articles for article (PubMed ID: 31194609)
1. A natural language processing framework to analyse the opinions on HPV vaccination reflected in twitter over 10 years (2008 - 2017). Luo X; Zimet G; Shah S Hum Vaccin Immunother; 2019; 15(7-8):1496-1504. PubMed ID: 31194609 [TBL] [Abstract][Full Text] [Related]
2. Applying Multiple Data Collection Tools to Quantify Human Papillomavirus Vaccine Communication on Twitter. Massey PM; Leader A; Yom-Tov E; Budenz A; Fisher K; Klassen AC J Med Internet Res; 2016 Dec; 18(12):e318. PubMed ID: 27919863 [TBL] [Abstract][Full Text] [Related]
3. Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data. Du J; Xu J; Song HY; Tao C BMC Med Inform Decis Mak; 2017 Jul; 17(Suppl 2):69. PubMed ID: 28699569 [TBL] [Abstract][Full Text] [Related]
4. Associations Between Exposure to and Expression of Negative Opinions About Human Papillomavirus Vaccines on Social Media: An Observational Study. Dunn AG; Leask J; Zhou X; Mandl KD; Coiera E J Med Internet Res; 2015 Jun; 17(6):e144. PubMed ID: 26063290 [TBL] [Abstract][Full Text] [Related]
5. Using social connection information to improve opinion mining: Identifying negative sentiment about HPV vaccines on Twitter. Zhou X; Coiera E; Tsafnat G; Arachi D; Ong MS; Dunn AG Stud Health Technol Inform; 2015; 216():761-5. PubMed ID: 26262154 [TBL] [Abstract][Full Text] [Related]
6. HPV vaccine, Twitter, and gay, bisexual and other men who have sex with men. Budenz A; Klassen A; Leader A; Fisher K; Yom-Tov E; Massey P Health Promot Int; 2020 Apr; 35(2):290-300. PubMed ID: 31006017 [TBL] [Abstract][Full Text] [Related]
7. 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]
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. 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]
10. HPV vaccine narratives on Twitter during the COVID-19 pandemic: a social network, thematic, and sentiment analysis. Boucher JC; Kim SY; Jessiman-Perreault G; Edwards J; Smith H; Frenette N; Badami A; Scott LA BMC Public Health; 2023 Apr; 23(1):694. PubMed ID: 37060069 [TBL] [Abstract][Full Text] [Related]
11. Geospatial mapping of public sentiment and infodemic on human papillomavirus vaccination in India: An indication to formulation of strategies for effective implementation. Rajkhowa P; Kalyanpur C; K R; Dsouza VS; Pattanshetty S; Narayanan P; Saravu K; Brand H Glob Public Health; 2024 Jan; 19(1):2348646. PubMed ID: 38718287 [TBL] [Abstract][Full Text] [Related]
12. Mining Twitter to assess the determinants of health behavior toward human papillomavirus vaccination in the United States. Zhang H; Wheldon C; Dunn AG; Tao C; Huo J; Zhang R; Prosperi M; Guo Y; Bian J J Am Med Inform Assoc; 2020 Feb; 27(2):225-235. PubMed ID: 31711186 [TBL] [Abstract][Full Text] [Related]
13. Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection. Surian D; Nguyen DQ; Kennedy G; Johnson M; Coiera E; Dunn AG J Med Internet Res; 2016 Aug; 18(8):e232. PubMed ID: 27573910 [TBL] [Abstract][Full Text] [Related]
14. Comparing human papillomavirus vaccine concerns on Twitter: a cross-sectional study of users in Australia, Canada and the UK. Shapiro GK; Surian D; Dunn AG; Perry R; Kelaher M BMJ Open; 2017 Oct; 7(10):e016869. PubMed ID: 28982821 [TBL] [Abstract][Full Text] [Related]
15. Assessing HPV vaccination perceptions with online social media in Italy. Angioli R; Casciello M; Lopez S; Plotti F; Minco LD; Frati P; Fineschi V; Panici PB; Scaletta G; Capriglione S; Miranda A; Feole L; Terranova C Int J Gynecol Cancer; 2019 Mar; 29(3):453-458. PubMed ID: 30630890 [TBL] [Abstract][Full Text] [Related]
16. What Drives Health Professionals to Tweet About #HPVvaccine? Identifying Strategies for Effective Communication. Massey PM; Budenz A; Leader A; Fisher K; Klassen AC; Yom-Tov E Prev Chronic Dis; 2018 Feb; 15():E26. PubMed ID: 29470166 [TBL] [Abstract][Full Text] [Related]
17. Identifying False Human Papillomavirus (HPV) Vaccine Information and Corresponding Risk Perceptions From Twitter: Advanced Predictive Models. Tomaszewski T; Morales A; Lourentzou I; Caskey R; Liu B; Schwartz A; Chin J J Med Internet Res; 2021 Sep; 23(9):e30451. PubMed ID: 34499043 [TBL] [Abstract][Full Text] [Related]
18. Mapping information exposure on social media to explain differences in HPV vaccine coverage in the United States. Dunn AG; Surian D; Leask J; Dey A; Mandl KD; Coiera E Vaccine; 2017 May; 35(23):3033-3040. PubMed ID: 28461067 [TBL] [Abstract][Full Text] [Related]
19. Using Twitter to Understand the Human Bowel Disease Community: Exploratory Analysis of Key Topics. Pérez-Pérez M; Pérez-Rodríguez G; Fdez-Riverola F; Lourenço A J Med Internet Res; 2019 Aug; 21(8):e12610. PubMed ID: 31411142 [TBL] [Abstract][Full Text] [Related]
20. Use of Deep Learning to Analyze Social Media Discussions About the Human Papillomavirus Vaccine. Du J; Luo C; Shegog R; Bian J; Cunningham RM; Boom JA; Poland GA; Chen Y; Tao C JAMA Netw Open; 2020 Nov; 3(11):e2022025. PubMed ID: 33185676 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]