Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets-Reference-Cited by-同舟云学术

Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets

Published:2017-03-03 Issue:1 Volume:8 Page:
ISSN:2041-1480
Container-title:Journal of Biomedical Semantics
language:en
Short-container-title:J Biomed Semant

Author:

Du Jingcheng,Xu Jun,Song Hsingyi,Liu Xiangyu,Tao Cui

Funder

U.S. National Library of Medicine (US)

Cancer Prevention and Research Institute of Texas (US)

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Health Informatics,Computer Science Applications,Information Systems

Link

http://link.springer.com/content/pdf/10.1186/s13326-017-0120-6.pdf

Reference23 articles.

1. Centers for Disease Control and Prevention. HPV-Associated Cancers Statistics [Internet]. Available from: http://www.cdc.gov/cancer/hpv/statistics/index.htm . Accessed July 2016.

2. Farmar AL, Love-Osborne K, Chichester K, Breslin K, Bronkan K, Hambidge SJ. Achieving High Adolescent HPV Vaccination Coverage. Pediatrics. 2016;5:e20152653.

3. Twitter Usage Statistics [Internet]. Available from: http://www.internetlivestats.com/twitter-statistics/ . Accessed Feb 2017.

4. Thakkar H, Patel D. Approaches for sentiment analysis on twitter: A state-of-art study. arXiv preprint arXiv:1512.01043. Accessed 3 Dec 2015.

5. Pak A, Paroubek P. Twitter as a Corpus for Sentiment Analysis and Opinion Mining. InLREc 2010;10(2010).

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