Multi-modality behavioral influence analysis for personalized recommendations in health social media environment

X Zhou, W Liang, I Kevin, K Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Recently, health social media have engaged more and more people to share their personal
feelings, opinions, and experience in the context of health informatics, which has drawn …

Network-based modeling and intelligent data mining of social media for improving care

A Akay, A Dragomir… - IEEE journal of biomedical …, 2014 - ieeexplore.ieee.org
Intelligently extracting knowledge from social media has recently attracted great interest from
the Biomedical and Health Informatics community to simultaneously improve healthcare …

Ranking user influence in healthcare social media

X Tang, CC Yang - ACM Transactions on Intelligent Systems and …, 2012 - dl.acm.org
Due to the revolutionary development of Web 2.0 technology, individual users have become
major contributors of Web content in online social media. In light of the growing activities …

Finding influential users of online health communities: a new metric based on sentiment influence

K Zhao, J Yen, G Greer, B Qiu, P Mitra… - Journal of the …, 2014 - academic.oup.com
Abstract Objective Online health communities (OHCs) have become a major source of
support for people with health problems. This research tries to improve our understanding of …

Analysis of an online health social network

X Ma, G Chen, J Xiao - Proceedings of the 1st ACM international health …, 2010 - dl.acm.org
With the continued advances of Web 2.0, health-centered Online Social Networks (OSNs)
are emerging to provide knowledge and support for those interested in managing their own …

Mining health social media with sentiment analysis

FC Yang, AJT Lee, SC Kuo - Journal of medical systems, 2016 - Springer
With the rapid development of the Internet, more and more users utilize health communities
(known as forums) to find health-related information, share their medical stories and …

[HTML][HTML] An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages

S Tuarob, CS Tucker, M Salathe, N Ram - Journal of biomedical informatics, 2014 - Elsevier
Objectives The role of social media as a source of timely and massive information has
become more apparent since the era of Web 2.0. Multiple studies illustrated the use of …

Exploiting implicit influence from information propagation for social recommendation

F Xiong, W Shen, H Chen, S Pan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Social recommender systems have attracted a lot of attention from academia and industry.
On social media, users' ratings and reviews can be observed by all users, and have implicit …

Social network user influence sense-making and dynamics prediction

J Li, W Peng, T Li, T Sun, Q Li, J Xu - Expert Systems with Applications, 2014 - Elsevier
Identifying influential users and predicting their “network impact” on social networks have
attracted tremendous interest from both academia and industry. Various definitions of …

Aspect-based sentiment analysis of drug reviews applying cross-domain and cross-data learning

F Gräßer, S Kallumadi, H Malberg… - Proceedings of the 2018 …, 2018 - dl.acm.org
Online review sites and opinion forums contain a wealth of information regarding user
preferences and experiences over multiple product domains. This information can be …