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 …

A neural influence diffusion model for social recommendation

L Wu, P Sun, Y Fu, R Hong, X Wang… - Proceedings of the 42nd …, 2019 - dl.acm.org
Precise user and item embedding learning is the key to building a successful recommender
system. Traditionally, Collaborative Filtering (CF) provides a way to learn user and item …

Personalized DeepInf: enhanced social influence prediction with deep learning and transfer learning

CK Leung, A Cuzzocrea, JJ Mai… - … conference on big …, 2019 - ieeexplore.ieee.org
Social influence is referred to as the phenomenon that one's opinions or behaviors be
affected by others. Nowadays, the potential impact of social influence analysis (SIA) is …

Exploring users' internal influence from reviews for social recommendation

G Zhao, X Lei, X Qian, T Mei - IEEE transactions on multimedia, 2018 - ieeexplore.ieee.org
In recent years, we have witnessed a flourish of social review websites. Internet users can
easily share their experiences on some products and services with their friends. Therefore …

Multimodal post attentive profiling for influencer marketing

S Kim, JY Jiang, M Nakada, J Han… - Proceedings of The Web …, 2020 - dl.acm.org
Influencer marketing has become a key marketing method for brands in recent years. Hence,
brands have been increasingly utilizing influencers' social networks to reach niche markets …

Depression detection on online social network with multivariate time series feature of user depressive symptoms

Y Cai, H Wang, H Ye, Y Jin, W Gao - Expert Systems with Applications, 2023 - Elsevier
In recent years, depression has attracted worldwide attention because of its prevalence and
great risk for suicide. Existing studies have confirmed the feasibility of depression detection …

Mining social media data for biomedical signals and health-related behavior

RB Correia, IB Wood, J Bollen… - Annual review of …, 2020 - annualreviews.org
Social media data have been increasingly used to study biomedical and health-related
phenomena. From cohort-level discussions of a condition to population-level analyses of …

Social recommendation with large-scale group decision-making for cyber-enabled online service

X Zhou, W Liang, S Huang, M Fu - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Along with the development of several emerging computing paradigms and information
communication technologies, it is said that cyber computing technology is playing an …

Social influence analysis in social networking big data: Opportunities and challenges

S Peng, G Wang, D Xie - IEEE network, 2016 - ieeexplore.ieee.org
Social influence analysis has become one of the most important technologies in modern
information and service industries. It will definitely become an essential mechanism to …

User recommendation in healthcare social media by assessing user similarity in heterogeneous network

L Jiang, CC Yang - Artificial intelligence in medicine, 2017 - Elsevier
Objective The rapid growth of online health social websites has captured a vast amount of
healthcare information and made the information easy to access for health consumers. E …