BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

130 related articles for article (PubMed ID: 36899539)

  • 1. An optimistic firefly algorithm-based deep learning approach for sentiment analysis of COVID-19 tweets.
    Swapnarekha H; Nayak J; Behera HS; Dash PB; Pelusi D
    Math Biosci Eng; 2023 Jan; 20(2):2382-2407. PubMed ID: 36899539
    [TBL] [Abstract][Full Text] [Related]  

  • 2. COVID-19 Related Sentiment Analysis Using State-of-the-Art Machine Learning and Deep Learning Techniques.
    Jalil Z; Abbasi A; Javed AR; Badruddin Khan M; Abul Hasanat MH; Malik KM; Saudagar AKJ
    Front Public Health; 2021; 9():812735. PubMed ID: 35096755
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. COVID-19 sentiment analysis via deep learning during the rise of novel cases.
    Chandra R; Krishna A
    PLoS One; 2021; 16(8):e0255615. PubMed ID: 34411112
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis.
    Rustam F; Khalid M; Aslam W; Rupapara V; Mehmood A; Choi GS
    PLoS One; 2021; 16(2):e0245909. PubMed ID: 33630869
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Proposed Sentiment Analysis Deep Learning Algorithm for Analyzing COVID-19 Tweets.
    Kaur H; Ahsaan SU; Alankar B; Chang V
    Inf Syst Front; 2021; 23(6):1417-1429. PubMed ID: 33897274
    [TBL] [Abstract][Full Text] [Related]  

  • 7. COVID-19 Vaccine Hesitancy: A Global Public Health and Risk Modelling Framework Using an Environmental Deep Neural Network, Sentiment Classification with Text Mining and Emotional Reactions from COVID-19 Vaccination Tweets.
    Qorib M; Oladunni T; Denis M; Ososanya E; Cotae P
    Int J Environ Res Public Health; 2023 May; 20(10):. PubMed ID: 37239532
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study.
    Visweswaran S; Colditz JB; O'Halloran P; Han NR; Taneja SB; Welling J; Chu KH; Sidani JE; Primack BA
    J Med Internet Res; 2020 Aug; 22(8):e17478. PubMed ID: 32784184
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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; 24(10):e40408. PubMed ID: 36174192
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Natural Language Processing (NLP) Evaluation on COVID-19 Rumour Dataset Using Deep Learning Techniques.
    Fatima R; Samad Shaikh N; Riaz A; Ahmad S; El-Affendi MA; Alyamani KAZ; Nabeel M; Ali Khan J; Yasin A; Latif RMA
    Comput Intell Neurosci; 2022; 2022():6561622. PubMed ID: 36156967
    [No Abstract]   [Full Text] [Related]  

  • 11. 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]  

  • 12. Heterogeneous Ensemble Deep Learning Model for Enhanced Arabic Sentiment Analysis.
    Saleh H; Mostafa S; Alharbi A; El-Sappagh S; Alkhalifah T
    Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632116
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Tracking discussions of complementary, alternative, and integrative medicine in the context of the COVID-19 pandemic: a month-by-month sentiment analysis of Twitter data.
    Ng JY; Abdelkader W; Lokker C
    BMC Complement Med Ther; 2022 Apr; 22(1):105. PubMed ID: 35418205
    [TBL] [Abstract][Full Text] [Related]  

  • 14. COVID-19 outbreak: An ensemble pre-trained deep learning model for detecting informative tweets.
    Malla S; P J A A
    Appl Soft Comput; 2021 Aug; 107():107495. PubMed ID: 36568257
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Leveraging Tweets for Artificial Intelligence Driven Sentiment Analysis on the COVID-19 Pandemic.
    Alkhaldi NA; Asiri Y; Mashraqi AM; Halawani HT; Abdel-Khalek S; Mansour RF
    Healthcare (Basel); 2022 May; 10(5):. PubMed ID: 35628045
    [TBL] [Abstract][Full Text] [Related]  

  • 16. COVID-19 Vaccination-Related Sentiments Analysis: A Case Study Using Worldwide Twitter Dataset.
    Reshi AA; Rustam F; Aljedaani W; Shafi S; Alhossan A; Alrabiah Z; Ahmad A; Alsuwailem H; Almangour TA; Alshammari MA; Lee E; Ashraf I
    Healthcare (Basel); 2022 Feb; 10(3):. PubMed ID: 35326889
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Sentiment Analysis on COVID-19-Related Social Distancing in Canada Using Twitter Data.
    Shofiya C; Abidi S
    Int J Environ Res Public Health; 2021 Jun; 18(11):. PubMed ID: 34204907
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Twitter sentiment analysis for COVID-19 associated mucormycosis.
    Singh M; Dhillon HK; Ichhpujani P; Iyengar S; Kaur R
    Indian J Ophthalmol; 2022 May; 70(5):1773-1779. PubMed ID: 35502071
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining Analysis.
    Alhuzali H; Zhang T; Ananiadou S
    J Med Internet Res; 2022 Oct; 24(10):e40323. PubMed ID: 36150046
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.