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 *

102 related articles for article (PubMed ID: 27149621)

  • 1. Multilingual Twitter Sentiment Classification: The Role of Human Annotators.
    Mozetič I; Grčar M; Smailović J
    PLoS One; 2016; 11(5):e0155036. PubMed ID: 27149621
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Sentiment of Emojis.
    Kralj Novak P; Smailović J; Sluban B; Mozetič I
    PLoS One; 2015; 10(12):e0144296. PubMed ID: 26641093
    [TBL] [Abstract][Full Text] [Related]  

  • 3. RuSentiTweet: a sentiment analysis dataset of general domain tweets in Russian.
    Smetanin S
    PeerJ Comput Sci; 2022; 8():e1039. PubMed ID: 36092008
    [TBL] [Abstract][Full Text] [Related]  

  • 4. How to evaluate sentiment classifiers for Twitter time-ordered data?
    Mozetič I; Torgo L; Cerqueira V; Smailović J
    PLoS One; 2018; 13(3):e0194317. PubMed ID: 29534112
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Online Influence and Sentiment of Fitness Tweets: Analysis of Two Million Fitness Tweets.
    Vickey T; Breslin JG
    JMIR Public Health Surveill; 2017 Oct; 3(4):e82. PubMed ID: 29089294
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Sentiment Analysis of Health Care Tweets: Review of the Methods Used.
    Gohil S; Vuik S; Darzi A
    JMIR Public Health Surveill; 2018 Apr; 4(2):e43. PubMed ID: 29685871
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Multilingual text categorization and sentiment analysis: a comparative analysis of the utilization of multilingual approaches for classifying twitter data.
    Manias G; Mavrogiorgou A; Kiourtis A; Symvoulidis C; Kyriazis D
    Neural Comput Appl; 2023 May; ():1-17. PubMed ID: 37362579
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC.
    Kors JA; Clematide S; Akhondi SA; van Mulligen EM; Rebholz-Schuhmann D
    J Am Med Inform Assoc; 2015 Sep; 22(5):948-56. PubMed ID: 25948699
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Twitter sentiment classification for measuring public health concerns.
    Ji X; Chun SA; Wei Z; Geller J
    Soc Netw Anal Min; 2015; 5(1):13. PubMed ID: 32226558
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Crowdsourcing Twitter annotations to identify first-hand experiences of prescription drug use.
    Alvaro N; Conway M; Doan S; Lofi C; Overington J; Collier N
    J Biomed Inform; 2015 Dec; 58():280-287. PubMed ID: 26556646
    [TBL] [Abstract][Full Text] [Related]  

  • 14. DravidianCodeMix: sentiment analysis and offensive language identification dataset for Dravidian languages in code-mixed text.
    Chakravarthi BR; Priyadharshini R; Muralidaran V; Jose N; Suryawanshi S; Sherly E; McCrae JP
    Lang Resour Eval; 2022; 56(3):765-806. PubMed ID: 35996566
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Sentimental study of CAA by location-based tweets.
    Vashisht G; Sinha YN
    Int J Inf Technol; 2021; 13(4):1555-1567. PubMed ID: 33778365
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Using Social Media to Characterize Public Sentiment Toward Medical Interventions Commonly Used for Cancer Screening: An Observational Study.
    Metwally O; Blumberg S; Ladabaum U; Sinha SR
    J Med Internet Res; 2017 Jun; 19(6):e200. PubMed ID: 28592395
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Using Social Media Data to Understand the Impact of Promotional Information on Laypeople's Discussions: A Case Study of Lynch Syndrome.
    Bian J; Zhao Y; Salloum RG; Guo Y; Wang M; Prosperi M; Zhang H; Du X; Ramirez-Diaz LJ; He Z; Sun Y
    J Med Internet Res; 2017 Dec; 19(12):e414. PubMed ID: 29237586
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The use of social media in endourology: an analysis of the 2013 World Congress of Endourology meeting.
    Canvasser NE; Ramo C; Morgan TM; Zheng K; Hollenbeck BK; Ghani KR
    J Endourol; 2015 May; 29(5):615-20. PubMed ID: 25026076
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets.
    Du J; Xu J; Song H; Liu X; Tao C
    J Biomed Semantics; 2017 Mar; 8(1):9. PubMed ID: 28253919
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Inter-Annotator Agreement and the Upper Limit on Machine Performance: Evidence from Biomedical Natural Language Processing.
    Boguslav M; Cohen KB
    Stud Health Technol Inform; 2017; 245():298-302. PubMed ID: 29295103
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.