Filters








22,954 Hits in 4.3 sec

Identifying Moments of Change from Longitudinal User Text [article]

Adam Tsakalidis, Federico Nanni, Anthony Hills, Jenny Chim, Jiayu Song, Maria Liakata
2022 arXiv   pre-print
We have created detailed guidelines for capturing moments of change and a corpus of 500 manually annotated user timelines (18.7K posts).  ...  Here we define a new task, that of identifying moments of change in individuals on the basis of their shared content online.  ...  Dana Atzil-Slonim, Elena Kochkina, the anonymous reviewers and the meta-reviewer for their valuable feedback on our work, as well as the three annotators for their invaluable efforts in generating the longitudinal  ... 
arXiv:2205.05593v1 fatcat:wateonxu2vetpncp7ljlwu2kvy

Identifying Moments of Change from Longitudinal User Text

Adam Tsakalidis, Federico Nanni, Anthony Hills, Jenny Chim, Jiayu Song, Maria Liakata
2022 Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)   unpublished
We have created detailed guidelines for capturing moments of change and a corpus of 500 manually annotated user timelines (18.7K posts).  ...  Here we define a new task, that of identifying moments of change in individuals on the basis of their shared content online.  ...  Dana Atzil-Slonim, Elena Kochkina, the anonymous reviewers and the meta-reviewer for their valuable feedback on our work, as well as the three annotators for their invaluable efforts in generating the longitudinal  ... 
doi:10.18653/v1/2022.acl-long.318 fatcat:noiudr6fwvfnzls5hbzacp3y4y

A dataset for the study of identity at scale: Annual Prevalence of American Twitter Users with specified Token in their Profile Bio 2015–2020

Jason Jeffrey Jones, Liviu-Adrian Cotfas
2021 PLoS ONE  
A demonstration analysis provides evidence that personal, individual development and changing cultural norms can be observed with these data and methods.  ...  At scale means with data on millions of individuals, which is newly available and comes timestamped and geocoded.  ...  Therefore, the cross-sectional results represent both change at the individual level and changes in the composition of the in-the-moment active user population.  ... 
doi:10.1371/journal.pone.0260185 pmid:34793578 pmcid:PMC8601548 fatcat:t7iozh6phzettn42nma543nauy

Longitudinal patterns of STI risk based on psychological characteristics and sexual behavior in heterosexual STI clinic visitors

Daphne A. van Wees, Janneke C.M. Heijne, Maartje Basten, Titia Heijman, John de Wit, Mirjam E.E. Kretzschmar, Chantal den Daas
2019 Sexually Transmitted Diseases  
The aim of this study was to identify longitudinal patterns of STI risk based on psychological and behavioral characteristics.  ...  implementation of effective evidence-based behavior change interventions.  ...  The aim of this study was to identify longitudinal patterns of STI risk based on psychological characteristics and sexual behavior among heterosexual STI clinic visitors.  ... 
doi:10.1097/olq.0000000000001110 pmid:31876886 pmcid:PMC7012346 fatcat:zohxrrreojcvznbmpzfpbb5dye

Social Media Insights Into US Mental Health Amid the COVID-19 Pandemic. A Longitudinal Twitter Analysis (JANUARY-APRIL 2020) [article]

Danny Valdez, Marijn ten Thij, Krishna C Bathina, Laruen A Rutter, Johan Bollen
2020 medRxiv   pre-print
Finally, VADER sentiment analysis sentiment scores of user timelines were initially high and stable, but decreased significantly, and continuously, by late March.  ...  Purpose: Broadly, this study answers three research questions: RQ1: What themes emerge from a corpus of US tweets about COVID19?  ...  The user-timeline data has one PELT-identified significant change a pandemic).  ... 
doi:10.1101/2020.12.01.20241943 fatcat:mt7evcdxrnb2bha3acadraoq3m

Social-media insights into US mental health amid the COVID-19 global pandemic: a Longitudinal analysis of publicly available Twitter data (January 22- April 10, 2020) (Preprint)

Danny Valdez, Marijn ten Thij, Krishna Bathina, Lauren Alexandra Rutter, Johan Bollen
2020 Journal of Medical Internet Research  
Finally, VADER sentiment analysis sentiment scores of user timelines were initially high and stable, but decreased significantly, and continuously, by late March.  ...  Broadly, this study answers three research questions: RQ1: What themes emerge from a corpus of US tweets about COVID-19?  ...  What Patterns Emerge From Longitudinal Tracking of Sentiment During the Onset of the COVID-19 Pandemic?  ... 
doi:10.2196/21418 pmid:33284783 fatcat:ryq3uhkmqbazlbp5nqhdctwlga

A tool for improving the longitudinal imaging characterization for neuro-oncology cases

Ricky K Taira, Ricky Taira, Alex Bui, Alex At Bui, William Hsu, Vijayaraghavan Bashyam, Shishir Dube, Emily Watt, Lewellyn Andrada, Suzie El-Saden, Timothy Cloughesy, Hooshang Kangarloo
2008 AMIA Annual Symposium Proceedings  
We describe the development of a prototype tool for the construction of longitudinal cases studies that can be used for teaching files, construction of clinical databases, and for patient education.  ...  that includes the dimensions of space, time, existence, and causality; 5) user interface that provides three levels of information including overview, filtered summarization, and details on demand.  ...  Clinical educators can benefit from longitudinal studies by allowing students to experience the complexity of a full patient report where a student needs to distinguish between noise and/or independent  ... 
pmid:18999139 pmcid:PMC2656085 fatcat:wtqhxbazlncx3mjxbtebyvkjkm

Predicting Social Network Users with Depression from Simulated Temporal Data

Akkapon Wongkoblap, Miguel A. Vadillo, Vasa Curcin
2019 IEEE EUROCON 2019 -18th International Conference on Smart Technologies  
The power of MIL is to learn from user-level labels to identify post-level labels.  ...  Mental health issues are widely accepted as one of the most prominent health challenges in the world, with over 300 million people currently suffering from depression alone.  ...  The model could potentially be applied to structured and unstructured text and map it to longitudinal data, which can provide better understandings of changing patterns of text over observation time and  ... 
doi:10.1109/eurocon.2019.8861514 dblp:conf/eurocon/WongkoblapVC19 fatcat:ovbzn6o7qzakfjws2y42wuamue

CAPABLE D5.1: Data Ready for Modelling and Reasoning Development

Ella Barkan, Flora Gilboa-Solomon, Silvana Quaglini
2020 Zenodo  
This document describes patient's data coming from the three following data sources: Data set from ICSM Hospital (Istituti Clinici Scientifici Maugeri) of Renal Cell Carcinoma (RCC) patients and their  ...  treatments Data set for Melanoma cancer patients treated by immune checkpoint inhibitors from AVL-NKI (Antoni van Leeuwenhoekziekenhuis Netherlands Cancer Institute) Three data sources from AIMAC (Italian  ...  poster_id Numerical identifier of the user that posted the message post_text Text of the message The most important field is the post_text.  ... 
doi:10.5281/zenodo.4540571 fatcat:cz5ao3zs75apvh6fpzv3pmckzu

Toward Exploiting EEG Input in a Reading Tutor [chapter]

Jack Mostow, Kai-min Chang, Jessica Nelson
2011 Lecture Notes in Computer Science  
Using its signal from adults and children reading text and isolated words, both aloud and silently, we train and test classifiers to tell easy from hard sentences, and to distinguish among easy words,  ...  A new type of sensor for students' mental states is a single-channel EEG headset simple enough to use in schools.  ...  The opinions expressed are those of the authors and do not necessarily represent the views of the Institute or U.S. Department of Education.  ... 
doi:10.1007/978-3-642-21869-9_31 fatcat:pmv424m5lrdzdjaqlc3a4c3ubi

Using computerized text analysis to assess communication within an Italian type 1 diabetes Facebook group

Alda Troncone, Crescenzo Cascella, Antonietta Chianese, Dario Iafusco
2015 Health Psychology Open  
The purpose of this study was to assess messages posted by mothers of children with type 1 diabetes in the Italian Facebook group "Mamme e diabete" using computerized text analysis.  ...  The implications of these findings for the management of diabetes are discussed.  ...  No author or related institution has received any financial benefit from research in this study.  ... 
doi:10.1177/2055102915615338 pmid:28070379 pmcid:PMC5193317 fatcat:mwgt5522mzevzcgvgijdwyioru

Factors Contributing to Dropping-out in an Online Health Community: Static and Longitudinal Analyses

Shaodian Zhang, Noémie Elhadad
2017 AMIA Annual Symposium Proceedings  
We then study quantitatively what longitudinal factors of participation are correlated with dropping-out.  ...  In this study, we propose a method to identify dropout members from a large public online breast cancer community.  ...  Acknowledgments This work is supported by a National Science Foundation award (#0941339) and a National Institute of General Medical Sciences award (R01 GM114355).  ... 
pmid:28269969 pmcid:PMC5333218 fatcat:s22hjm7dofe6tl5i4atx3x4vku

Significant Changes in the 2005 ACI Code, Including Changes Affecting Precast/Prestressed Concrete - Part 2

S. K. Ghosh
2005 PCI journal  
Move prescriptive requirements from the list of notation into the Code. 5. Use notation, rather than text, whenever possible in the Code. 6. Move the list of notation from Appendix E to Chapter 2.  ...  In the following paragraphs, strike-out marks indicate deletion of existing (ACI 318-02) text, and underlining indicates addition of new text. Chapters not discussed do not have any changes in them.  ... 
doi:10.15554/pcij.05012005.96.101 fatcat:jiceatjyjvh7ze6ufcws3vplpe

Personalized models of physical activity responses to text message micro-interventions: A proof-of-concept application of control systems engineering methods

David E. Conroy, Sarah Hojjatinia, Constantino M. Lagoa, Chih-Hsiang Yang, Stephanie T. Lanza, Joshua M. Smyth
2018 Psychology of Sport And Exercise  
A dynamical systems model was estimated for each participant to examine the magnitude and timing of responses to each type of text message.  ...  This proof-of-concept demonstration suggests that parameters from this model can be used to develop personalized algorithms for intervention delivery.  ...  The most recent meta-analysis of text message intervention effects on preventive health behaviors concluded that "text message interventions are capable of producing positive change" (Armanasco, Miller  ... 
doi:10.1016/j.psychsport.2018.06.011 pmid:30853855 pmcid:PMC6404972 fatcat:u3hyedhq7bf23psqjucuhzobza

ZenTrader, an Emotion-Reactive Interface [chapter]

Thomas Luan Dang, Steven Kun Liu, Sidney Fels
2011 Lecture Notes in Computer Science  
We carried out pilot evaluation of this system's effects on the consistency of decisions made under stress.  ...  We describe a galvanic skin response (GSR) sensor armband that broadcasts stress events via Bluetooth to a prisoner's dilemma game application on an Android phone, which alters its behavior when the user  ...  For trading and game applications, the sensor should identify moments when there are persistent responses in skin conductance, which indicate ongoing changes in arousal level.  ... 
doi:10.1007/978-3-642-24500-8_32 fatcat:s5rsszqwe5c5nfgxol3bxgs3em
« Previous Showing results 1 — 15 out of 22,954 results