Social Media Multidimensional Analysis for Intelligent Health Surveillance
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- Amir Hassan Zadeh & Hamed M. Zolbanin & Ramesh Sharda & Dursun Delen, 2019. "Social Media for Nowcasting Flu Activity: Spatio-Temporal Big Data Analysis," Information Systems Frontiers, Springer, vol. 21(4), pages 743-760, August.
- Arkaitz Zubiaga & Damiano Spina & Raquel Martínez & Víctor Fresno, 2015. "Real-time classification of Twitter trends," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(3), pages 462-473, March.
- Javier Rodríguez‐Vidal & Julio Gonzalo & Laura Plaza & Henry Anaya Sánchez, 2019. "Automatic detection of influencers in social networks: Authority versus domain signals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(7), pages 675-684, July.
- Sophie E. Jordan & Sierra E. Hovet & Isaac Chun-Hai Fung & Hai Liang & King-Wa Fu & Zion Tsz Ho Tse, 2018. "Using Twitter for Public Health Surveillance from Monitoring and Prediction to Public Response," Data, MDPI, vol. 4(1), pages 1-20, December.
- Weiling Chen & Chai Kiat Yeo & Chiew Tong Lau & Bu Sung Lee, 2017. "A study on real-time low-quality content detection on Twitter from the users’ perspective," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-22, August.
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Keywords
health surveillance; social network analysis; multidimensional analysis; text mining;All these keywords.
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