Abstract This paper has identified five major categories of the T2D patients ’ concerns based on an online forum where the patients voluntarily verbalized their naturally occurring emotional reactions and concerns related to T2D. We have emphasized the fact that the lexical and phrasal analysis brought to the forefront the prevailing negative reactions and desires for clear information, professional advice, and emotional support. This study used lexical and phrasal analysis based on text-mining tools to estimate the potential of using a large sample of patient conversation of a specific disease posted on the internet for clinical features and patients’ emotions. As a result, the study showed that quantitative analysis based on text-mining i...
AbstractSocial Networks are powerful social media for sharing information about various issues and c...
Peer-to-peer online support groups and the discussion forums in these groups can help patients by pr...
ArticleProceedings of the ACL workshop on Computational Linguistics and Clinical Psychology: From Li...
Background: The purpose of this study was to evaluate the possibility of using text-mining to identi...
L’analyse de donnée textuelle est facilitée par l’utilisation du text mining (TM) permettant l’autom...
Analysis of textual data is facilitated by the use of text mining (TM) allowing to automate content ...
Social media analytics can considerably contribute to understanding health conditions beyond clinica...
Póster presentado en 18th Annual Conference of the European Health Psychology Society, 21-24 June 20...
In the last decades, people with mental health issues were referred to mental health professionals ...
A large and growing fraction of the global population uses social media, through which users share t...
Extant healthcare literature has demonstrated that providing oncological patients with detailed, con...
Objective This research examines the extent to which informational and emotional elements are employ...
People with chronic conditions face psychological, social and cultural challenges when they control ...
Abstract Depressive disorders (including major depressive disorder and dysthymia) and anxiety (gener...
Much evidence has shown that people's physical and mental health can be predicted by the words they ...
AbstractSocial Networks are powerful social media for sharing information about various issues and c...
Peer-to-peer online support groups and the discussion forums in these groups can help patients by pr...
ArticleProceedings of the ACL workshop on Computational Linguistics and Clinical Psychology: From Li...
Background: The purpose of this study was to evaluate the possibility of using text-mining to identi...
L’analyse de donnée textuelle est facilitée par l’utilisation du text mining (TM) permettant l’autom...
Analysis of textual data is facilitated by the use of text mining (TM) allowing to automate content ...
Social media analytics can considerably contribute to understanding health conditions beyond clinica...
Póster presentado en 18th Annual Conference of the European Health Psychology Society, 21-24 June 20...
In the last decades, people with mental health issues were referred to mental health professionals ...
A large and growing fraction of the global population uses social media, through which users share t...
Extant healthcare literature has demonstrated that providing oncological patients with detailed, con...
Objective This research examines the extent to which informational and emotional elements are employ...
People with chronic conditions face psychological, social and cultural challenges when they control ...
Abstract Depressive disorders (including major depressive disorder and dysthymia) and anxiety (gener...
Much evidence has shown that people's physical and mental health can be predicted by the words they ...
AbstractSocial Networks are powerful social media for sharing information about various issues and c...
Peer-to-peer online support groups and the discussion forums in these groups can help patients by pr...
ArticleProceedings of the ACL workshop on Computational Linguistics and Clinical Psychology: From Li...