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| CrossRef Text and Data Mining |
| Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining. |
| Health Information Technology Trends in Social Media: Using Twitter Data |
| Jisan Lee, Jeongeun Kim, Yeong Joo Hong, Meihua Piao, Ahjung Byun, Healim Song, Hyeong Suk Lee |
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Healthc Inform Res. 2019;25(2):99-105. Published online April 30, 2019 DOI: https://doi.org/10.4258/hir.2019.25.2.99 |
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Health Information Technology Trends in Social Media: Using Twitter Data Healthcare Informatics Research. 2019;25(2):99  Feasibility of Conducting Retrospective Studies Using Hashtags and Social Media Data From Facebook and Twitter Value in Health. 2014;17(7):A584 Twitter Campaigning in the 2011 National Election in Slovenia Social Media in Politics. 2014;141-163 Using Social Media and Internet Data for Public Health Surveillance: The Importance of Talking Milbank Quarterly. 2014;92(1):34-39 News Classification from Social Media Using Twitter-based Doc2Vec Model and Automatic Query Expansion Proceedings of the Eighth International Symposium on Information and Communication Technology - SoICT 2017. 2017; Using social media to sample ideas: lessons from a Slate‐Twitter contest Journal of Systems and Information Technology. 2012;14(2):123-130 Analyzing stock market trends using social media user moods and social influence Journal of the Association for Information Science and Technology. 2019;70(9):1000-1013 An Analysis of Demographic and Behavior Trends Using Social Media: Facebook, Twitter, and Instagram Social Network Analytics. 2019;87-108 What social media data should i use in my research?: A comparative analysis of twitter, youtube, reddit, and the new york times comments Proceedings of the Association for Information Science and Technology. 2016;53(1):1-6 Crowdbreaks: Tracking Health Trends Using Public Social Media Data and Crowdsourcing Frontiers in Public Health. 2019;7: |
