Psychological language on Twitter predicts county-level heart disease mortality - Wikidata - awgldk - TriplyDB

Psychological language on Twitter predicts county-level heart disease mortality

Psychological language on Twitter predicts county-level heart disease mortality

http://www.wikidata.org/entity/Q28647426

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Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection Promises and pitfalls of Web-based experimentation in the advance of replicable psychological science: A reply to Plant (2015)Measuring Global Disease with Wikipedia: Success, Failure, and a Research Agenda The Protective Role of Positive Well-Being in Cardiovascular Disease: Review of Current Evidence, Mechanisms, and Clinical Implications Unexpected but Incidental Positive Outcomes Predict Real-World Gambling.Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department.Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection Social Media, Big Data, and Mental Health: Current Advances and Ethical Implications Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality Seeing the "Big" Picture: Big Data Methods for Exploring Relationships Between Usage, Language, and Outcome in Internet Intervention Data Clinical epidemiology in the era of big data: new opportunities, familiar challenges.How Do You #relax When You're #stressed? A Content Analysis and Infodemiology Study of Stress-Related Tweets Situations in 140 Characters: Assessing Real-World Situations on Twitter Twitter as a Potential Data Source for Cardiovascular Disease Research.The Lexicocalorimeter: Gauging public health through caloric input and output on social media.Mining the social mediome.Dictionaries and distributions: Combining expert knowledge and large scale textual data content analysis : Distributed dictionary representation.Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts Variations in Facebook Posting Patterns Across Validated Patient Health Conditions: A Prospective Cohort Study.Epidemiology from Tweets: Estimating Misuse of Prescription Opioids in the USA from Social Media.A Semantic Corpus Comparison Analysis of Couple-Focused Interventions for Problematic Alcohol Use.TACIT: An open-source text analysis, crawling, and interpretation tool.Social media indicators of the food environment and state health outcomes.Tweet Now, See You In the ED Later? Examining the Association Between Alcohol-related Tweets and Emergency Care Visits.Living in the Past, Present, and Future: Measuring Temporal Orientation With Language.The Incremental Validity of Self-Report and Performance-Based Methods for Assessing Hostility to Predict Cardiovascular Disease in Physicians.The effect of gender equality on happiness: Statistical modeling and analysis.Online Communication about Depression and Anxiety among Twitter Users with Schizophrenia: Preliminary Findings to Inform a Digital Phenotype Using Social Media.A Comparison of Human Narrative Coding of Redemption and Automated Linguistic Analysis for Understanding Life Stories.Social media and healthcare quality improvement: a nascent field.Social Media as a Catalyst for Policy Action and Social Change for Health and Well-Being: Viewpoint.Big data from electronic health records for early and late translational cardiovascular research: challenges and potential.Social Media as a New Vital Sign: Commentary.Candyflipping and Other Combinations: Identifying Drug-Drug Combinations from an Online Forum.Can Twitter be used to predict county excessive alcohol consumption rates?The Future of Technology in Positive Psychology: Methodological Advances in the Science of Well-Being.Assessing author self-citation as a mechanism of relevant knowledge diffusion Geographical Psychology The Double-Edged Sword of Big Data in Organizational and Management Research A Hands-On Guide to Conducting Psychological Research on Twitter

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P2860

Psychological language on Twitter predicts county-level heart disease mortality

http://www.wikidata.org/entity/Q28647426

description

2015 nî lūn-bûn

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2015 թուականի Փետրուարին հրատարակուած գիտական յօդուած

@hyw

2015 թվականի փետրվարին հրատարակված գիտական հոդված

@hy

2015年の論文

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2015年論文

@yue

2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

@zh-mo

2015年論文

@zh-tw

2015年论文

@wuu

name

Psychological language on Twitter predicts county-level heart disease mortality

@ast

Psychological language on Twitter predicts county-level heart disease mortality

@en

Psychological language on Twitter predicts county-level heart disease mortality

@nl

type

label

Psychological language on Twitter predicts county-level heart disease mortality

@ast

Psychological language on Twitter predicts county-level heart disease mortality

@en

Psychological language on Twitter predicts county-level heart disease mortality

@nl

prefLabel

Psychological language on Twitter predicts county-level heart disease mortality

@ast

Psychological language on Twitter predicts county-level heart disease mortality

@en

Psychological language on Twitter predicts county-level heart disease mortality

@nl

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Psychological Science

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Psychological language on Twitter predicts county-level heart disease mortality

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Emily E Larson

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Gregory Park

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Hansen Andrew Schwartz

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Johannes C Eichstaedt

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Lukasz A Dziurzynski

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Lyle H Ungar

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Maarten Sap

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Martin E P Seligman

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Megha Agrawal

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P2860

Personality, gender, and age in the language of social media: the open-vocabulary approach

The Undoing Effect of Positive Emotions

Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet

Detecting influenza epidemics using search engine query data

Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak

Human aging: usual and successful.

Does positive affect influence health?

The association of anger and hostility with future coronary heart disease: a meta-analytic review of prospective evidence.

Defining and setting national goals for cardiovascular health promotion and disease reduction: the American Heart Association's strategic Impact Goal through 2020 and beyond.

The heart's content: the association between positive psychological well-being and cardiovascular health.

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