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 *

133 related articles for article (PubMed ID: 33897274)

  • 1. 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]  

  • 2. 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]  

  • 3. "When 'Bad' is 'Good'": Identifying Personal Communication and Sentiment in Drug-Related Tweets.
    Daniulaityte R; Chen L; Lamy FR; Carlson RG; Thirunarayan K; Sheth A
    JMIR Public Health Surveill; 2016 Oct; 2(2):e162. PubMed ID: 27777215
    [TBL] [Abstract][Full Text] [Related]  

  • 4. TSA-CNN-AOA: Twitter sentiment analysis using CNN optimized via arithmetic optimization algorithm.
    Aslan S; Kızıloluk S; Sert E
    Neural Comput Appl; 2023; 35(14):10311-10328. PubMed ID: 36714074
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Using twitter to examine smoking behavior and perceptions of emerging tobacco products.
    Myslín M; Zhu SH; Chapman W; Conway M
    J Med Internet Res; 2013 Aug; 15(8):e174. PubMed ID: 23989137
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers-A study to show how popularity is affecting accuracy in social media.
    Chakraborty K; Bhatia S; Bhattacharyya S; Platos J; Bag R; Hassanien AE
    Appl Soft Comput; 2020 Dec; 97():106754. PubMed ID: 33013254
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Ensemble hybrid model for Hindi COVID-19 text classification with metaheuristic optimization algorithm.
    Jain V; Kashyap KL
    Multimed Tools Appl; 2023; 82(11):16839-16859. PubMed ID: 36313485
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach.
    Xue J; Chen J; Hu R; Chen C; Zheng C; Su Y; Zhu T
    J Med Internet Res; 2020 Nov; 22(11):e20550. PubMed ID: 33119535
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Public Perceptions around mHealth Applications during COVID-19 Pandemic: A Network and Sentiment Analysis of Tweets in Saudi Arabia.
    Binkheder S; Aldekhyyel RN; AlMogbel A; Al-Twairesh N; Alhumaid N; Aldekhyyel SN; Jamal AA
    Int J Environ Res Public Health; 2021 Dec; 18(24):. PubMed ID: 34948997
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Social Network Analysis of COVID-19 Sentiments: Application of Artificial Intelligence.
    Hung M; Lauren E; Hon ES; Birmingham WC; Xu J; Su S; Hon SD; Park J; Dang P; Lipsky MS
    J Med Internet Res; 2020 Aug; 22(8):e22590. PubMed ID: 32750001
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A novel COVID-19 sentiment analysis in Turkish based on the combination of convolutional neural network and bidirectional long-short term memory on Twitter.
    Kabakus AT
    Concurr Comput; 2022 Oct; 34(22):e6883. PubMed ID: 35539003
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep Sentiment Analysis of Twitter Data Using a Hybrid Ghost Convolution Neural Network Model.
    Ali Al-Abyadh MH; Iesa MAM; Hafeez Abdel Azeem HA; Singh DP; Kumar P; Abdulamir M; Jalali A
    Comput Intell Neurosci; 2022; 2022():6595799. PubMed ID: 35898769
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identifying Sentiment of Hookah-Related Posts on Twitter.
    Allem JP; Ramanujam J; Lerman K; Chu KH; Boley Cruz T; Unger JB
    JMIR Public Health Surveill; 2017 Oct; 3(4):e74. PubMed ID: 29046267
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Twitter Analysis of the Nonmedical Use and Side Effects of Methylphenidate: Machine Learning Study.
    Kim MG; Kim J; Kim SC; Jeong J
    J Med Internet Res; 2020 Feb; 22(2):e16466. PubMed ID: 32130160
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Using Twitter Comments to Understand People's Experiences of UK Health Care During the COVID-19 Pandemic: Thematic and Sentiment Analysis.
    Ainley E; Witwicki C; Tallett A; Graham C
    J Med Internet Res; 2021 Oct; 23(10):e31101. PubMed ID: 34469327
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study.
    Abd-Alrazaq A; Alhuwail D; Househ M; Hamdi M; Shah Z
    J Med Internet Res; 2020 Apr; 22(4):e19016. PubMed ID: 32287039
    [TBL] [Abstract][Full Text] [Related]  

  • 20. COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis.
    Naseem U; Razzak I; Khushi M; Eklund PW; Kim J
    IEEE Trans Comput Soc Syst; 2021 Aug; 8(4):1003-1015. PubMed ID: 35783149
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.