[HTML][HTML] Sentiment analysis in health and well-being: systematic review
Background Sentiment analysis (SA) is a subfield of natural language processing whose
aim is to automatically classify the sentiment expressed in a free text. It has found practical …
aim is to automatically classify the sentiment expressed in a free text. It has found practical …
Use of social network analysis in the development, dissemination, implementation, and sustainability of health behavior interventions for adults: A systematic review
Interest in conceptualizing, measuring, and applying social network analysis (SNA) in public
health has grown tremendously in recent years. While these studies have broadened our …
health has grown tremendously in recent years. While these studies have broadened our …
Measuring user influence on Twitter: A survey
F Riquelme, P González-Cantergiani - Information processing & …, 2016 - Elsevier
Centrality is one of the most studied concepts in social network analysis. There is a huge
literature regarding centrality measures, as ways to identify the most relevant users in a …
literature regarding centrality measures, as ways to identify the most relevant users in a …
Rumor gauge: Predicting the veracity of rumors on Twitter
The spread of malicious or accidental misinformation in social media, especially in time-
sensitive situations, such as real-world emergencies, can have harmful effects on individuals …
sensitive situations, such as real-world emergencies, can have harmful effects on individuals …
Understanding the spread of COVID‐19 misinformation on social media: The effects of topics and a political leader's nudge
The spread of misinformation on social media has become a major societal issue during
recent years. In this work, we used the ongoing COVID‐19 pandemic as a case study to …
recent years. In this work, we used the ongoing COVID‐19 pandemic as a case study to …
[HTML][HTML] Analyzing and predicting user participations in online health communities: a social support perspective
Background: Online health communities (OHCs) have become a major source of social
support for people with health problems. Members of OHCs interact online with similar peers …
support for people with health problems. Members of OHCs interact online with similar peers …
Analysis of online social network connections for identification of influential users: Survey and open research issues
Online social networks (OSNs) are structures that help users to interact, exchange, and
propagate new ideas. The identification of the influential users in OSNs is a significant …
propagate new ideas. The identification of the influential users in OSNs is a significant …
Automatic detection and verification of rumors on Twitter
S Vosoughi - 2015 - dspace.mit.edu
The spread of malicious or accidental misinformation in social media, especially in time-
sensitive situations such as real-world emergencies can have harmful effects on individuals …
sensitive situations such as real-world emergencies can have harmful effects on individuals …
Negative emotion arousal and altruism promoting of online public stigmatization on COVID-19 pandemic
X Chen, C Huang, H Wang, W Wang, X Ni… - Frontiers in …, 2021 - frontiersin.org
The outbreak of COVID-19 is a public health crisis that has had a profound impact on
society. Stigma is a common phenomenon in the prevalence and spread of infectious …
society. Stigma is a common phenomenon in the prevalence and spread of infectious …
Sentiment analysis and text categorization of cancer medical records with LSTM
Cancer is one among leading diseases, which affects millions of people and families around
the world. Monitoring the mood of such cancer affected people plays a vital part in their …
the world. Monitoring the mood of such cancer affected people plays a vital part in their …