Emotional and linguistic cues of depression from social media

N Vedula, S Parthasarathy - … of the 2017 International Conference on …, 2017 - dl.acm.org
Health outcomes in modern society are often shaped by peer interactions. Increasingly, a
significant fraction of such interactions happen online and can have an impact on various …

Social media contents based sentiment analysis and prediction system

SY Yoo, JI Song, OR Jeong - Expert Systems with Applications, 2018 - Elsevier
With the influence and social ripple effect of social media sites, diverse studies are in
progress to analyze the contents generated by users. Numerous contents generated in real …

A computational study of mental health awareness campaigns on social media

K Saha, J Torous, SK Ernala, C Rizuto… - Translational …, 2019 - academic.oup.com
As public discourse continues to progress online, it is important for mental health advocates,
public health officials, and other curious parties and stakeholders, ranging from researchers …

Topological Influence‐Aware Recommendation on Social Networks

Z Li, F Xiong, X Wang, H Chen, X Xiong - Complexity, 2019 - Wiley Online Library
Users in online networks exert different influence during the process of information
propagation, and the heterogeneous influence may contribute to personalized …

Scalable topic-specific influence analysis on microblogs

B Bi, Y Tian, Y Sismanis, A Balmin, J Cho - Proceedings of the 7th ACM …, 2014 - dl.acm.org
Social influence analysis on microblog networks, such as Twitter, has been playing a crucial
role in online advertising and brand management. While most previous influence analysis …

A big data analytics framework for detecting user-level depression from social networks

X Yang, R McEwen, LR Ong, M Zihayat - International Journal of …, 2020 - Elsevier
Depression is one of the most common mental health problems worldwide. The diagnosis of
depression is usually done by clinicians based on mental status questionnaires and …

[HTML][HTML] Creating personalized recommendations in a smart community by performing user trajectory analysis through social internet of things deployment

GX Lye, WK Cheng, TB Tan, CW Hung, YL Chen - Sensors, 2020 - mdpi.com
Despite advancements in the Internet of Things (IoT) and social networks, developing an
intelligent service discovery and composition framework in the Social IoT (SIoT) domain …

Inf2vec: Latent representation model for social influence embedding

S Feng, G Cong, A Khan, X Li, Y Liu… - 2018 IEEE 34th …, 2018 - ieeexplore.ieee.org
As a fundamental problem in social influence propagation analysis, learning influence
parameters has been extensively investigated. Most of the existing methods are proposed to …

iDoctor: Personalized and professionalized medical recommendations based on hybrid matrix factorization

Y Zhang, M Chen, D Huang, D Wu, Y Li - Future Generation Computer …, 2017 - Elsevier
Nowadays, crowd-sourced review websites provide decision support for various aspects of
daily life, including shopping, local services, healthcare, etc. However, one of the most …

Social media mining for drug safety signal detection

CC Yang, H Yang, L Jiang, M Zhang - Proceedings of the 2012 …, 2012 - dl.acm.org
Adverse Drug Reactions (ADRs) represent a serious problem all over the world. They may
complicate a patient's medical conditions and increase the morbidity, even mortality. Drug …