Psychological language on Twitter predicts county-level heart disease mortality
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Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community DetectionPromises 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 AgendaThe Protective Role of Positive Well-Being in Cardiovascular Disease: Review of Current Evidence, Mechanisms, and Clinical ImplicationsUnexpected 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 DetectionSocial Media, Big Data, and Mental Health: Current Advances and Ethical ImplicationsValidating Machine Learning Algorithms for Twitter Data Against Established Measures of SuicidalitySeeing the "Big" Picture: Big Data Methods for Exploring Relationships Between Usage, Language, and Outcome in Internet Intervention DataClinical 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 TweetsSituations in 140 Characters: Assessing Real-World Situations on TwitterTwitter 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 postsVariations 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 diffusionGeographical PsychologyThe Double-Edged Sword of Big Data in Organizational and Management ResearchA Hands-On Guide to Conducting Psychological Research on Twitter
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P2860
Psychological language on Twitter predicts county-level heart disease mortality
description
2015 nî lūn-bûn
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2015 թուականի Փետրուարին հրատարակուած գիտական յօդուած
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2015 թվականի փետրվարին հրատարակված գիտական հոդված
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2015年の論文
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2015年論文
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2015年論文
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2015年論文
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2015年論文
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2015年論文
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2015年论文
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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
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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
P2093
P2860
P3181
P356
P1476
Psychological language on Twitter predicts county-level heart disease mortality
@en
P2093
Darwin R Labarthe
Emily E Larson
Gregory Park
Hansen Andrew Schwartz
Johannes C Eichstaedt
Lukasz A Dziurzynski
Lyle H Ungar
Maarten Sap
Martin E P Seligman
Megha Agrawal
P2860
P304
P3181
P356
10.1177/0956797614557867
P407
P577
2015-01-20T00:00:00Z