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 *

138 related articles for article (PubMed ID: 37346678)

  • 1. Temporal analysis and opinion dynamics of COVID-19 vaccination tweets using diverse feature engineering techniques.
    Ahmed S; Khan DM; Sadiq S; Umer M; Shahzad F; Mahmood K; Mohsen H; Ashraf I
    PeerJ Comput Sci; 2023; 9():e1190. PubMed ID: 37346678
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deepfake tweets classification using stacked Bi-LSTM and words embedding.
    Rupapara V; Rustam F; Amaar A; Washington PB; Lee E; Ashraf I
    PeerJ Comput Sci; 2021; 7():e745. PubMed ID: 34805502
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Vaccine sentiment analysis using BERT + NBSVM and geo-spatial approaches.
    Umair A; Masciari E; Ullah MH
    J Supercomput; 2023 May; ():1-31. PubMed ID: 37359330
    [TBL] [Abstract][Full Text] [Related]  

  • 4. ETCNN: Extra Tree and Convolutional Neural Network-based Ensemble Model for COVID-19 Tweets Sentiment Classification.
    Umer M; Sadiq S; Karamti H; Abdulmajid Eshmawi A; Nappi M; Usman Sana M; Ashraf I
    Pattern Recognit Lett; 2022 Dec; 164():224-231. PubMed ID: 36407854
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. HAPI: An efficient Hybrid Feature Engineering-based Approach for Propaganda Identification in social media.
    Khanday AMUD; Wani MA; Rabani ST; Khan QR; Abd El-Latif AA
    PLoS One; 2024; 19(7):e0302583. PubMed ID: 38985703
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. COVID-19 vaccine rejection causes based on Twitter people's opinions analysis using deep learning.
    Alotaibi W; Alomary F; Mokni R
    Soc Netw Anal Min; 2023; 13(1):62. PubMed ID: 37033473
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Sentiment Analysis of Social Media Data on Ebola Outbreak Using Deep Learning Classifiers.
    Mirugwe A; Ashaba C; Namale A; Akello E; Bichetero E; Kansiime E; Nyirenda J
    Life (Basel); 2024 May; 14(6):. PubMed ID: 38929691
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Applying Machine Learning to Identify Anti-Vaccination Tweets during the COVID-19 Pandemic.
    To QG; To KG; Huynh VN; Nguyen NTQ; Ngo DTN; Alley SJ; Tran ANQ; Tran ANP; Pham NTT; Bui TX; Vandelanotte C
    Int J Environ Res Public Health; 2021 Apr; 18(8):. PubMed ID: 33921539
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Real-Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques.
    Rodrigues AP; Fernandes R; A A; B A; Shetty A; K A; Lakshmanna K; Shafi RM
    Comput Intell Neurosci; 2022; 2022():5211949. PubMed ID: 35463239
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Leveraging natural language processing and geospatial time series model to analyze COVID-19 vaccination sentiment dynamics on Tweets.
    Ye J; Hai J; Wang Z; Wei C; Song J
    JAMIA Open; 2023 Jul; 6(2):ooad023. PubMed ID: 37063408
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Detection of Fake News Text Classification on COVID-19 Using Deep Learning Approaches.
    Bangyal WH; Qasim R; Rehman NU; Ahmad Z; Dar H; Rukhsar L; Aman Z; Ahmad J
    Comput Math Methods Med; 2021; 2021():5514220. PubMed ID: 34819990
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Opinion analysis and aspect understanding during covid-19 pandemic using BERT-Bi-LSTM ensemble method.
    Wankhade M; Rao ACS
    Sci Rep; 2022 Oct; 12(1):17095. PubMed ID: 36224328
    [TBL] [Abstract][Full Text] [Related]  

  • 18. CoAID-DEEP: An Optimized Intelligent Framework for Automated Detecting COVID-19 Misleading Information on Twitter.
    Abdelminaam DS; Ismail FH; Taha M; Taha A; Houssein EH; Nabil A
    IEEE Access; 2021; 9():27840-27867. PubMed ID: 34786308
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Sentimental Analysis of COVID-19 Tweets Using Deep Learning Models.
    Chintalapudi N; Battineni G; Amenta F
    Infect Dis Rep; 2021 Apr; 13(2):329-339. PubMed ID: 33916139
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Sentiment analysis of Indonesian tweets on COVID-19 and COVID-19 vaccinations.
    Kalanjati VP; Hasanatuludhhiyah N; d'Arqom A; Arsyi DH; Marchianti ACN; Muhammad A; Purwitasari D
    F1000Res; 2023; 12():1007. PubMed ID: 38605817
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.