H. Andrew Schwartz

H. Andrew Schwartz

Stony Brook University

H-index: 45

North America-United States

About H. Andrew Schwartz

H. Andrew Schwartz, With an exceptional h-index of 45 and a recent h-index of 40 (since 2020), a distinguished researcher at Stony Brook University, specializes in the field of natural language processing, human centered NLP, computational psychology, artificial intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Tapping into alcohol use during COVID: Drinking correlates among bartenders and servers

Day-to-day dynamics of facial emotion expressions in posttraumatic stress disorder

Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation

The LEADING Guideline: Reporting Standards for Expert Panel, Best-Estimate Diagnosis, and Longitudinal Expert All Data (LEAD) Studies

Language-based EMA assessments help understand problematic alcohol consumption

SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks

Using Daily Language to Understand Drinking: Multi-Level Longitudinal Differential Language Analysis

Archetypes and Entropy: Theory-Driven Extraction of Evidence for Suicide Risk

H. Andrew Schwartz Information

University

Position

___

Citations(all)

10693

Citations(since 2020)

7908

Cited By

5711

hIndex(all)

45

hIndex(since 2020)

40

i10Index(all)

84

i10Index(since 2020)

80

Email

University Profile Page

Google Scholar

H. Andrew Schwartz Skills & Research Interests

natural language processing

human centered NLP

computational psychology

artificial intelligence

Top articles of H. Andrew Schwartz

Tapping into alcohol use during COVID: Drinking correlates among bartenders and servers

PLoS one

2024/4/16

Day-to-day dynamics of facial emotion expressions in posttraumatic stress disorder

2024/4/4

Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation

npj Mental Health Research

2024/4/2

The LEADING Guideline: Reporting Standards for Expert Panel, Best-Estimate Diagnosis, and Longitudinal Expert All Data (LEAD) Studies

medRxiv

2024/3/19

Language-based EMA assessments help understand problematic alcohol consumption

Plos one

2024/3/6

SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks

arXiv preprint arXiv:2402.01980

2024/2/3

Using Daily Language to Understand Drinking: Multi-Level Longitudinal Differential Language Analysis

2024/3

Archetypes and Entropy: Theory-Driven Extraction of Evidence for Suicide Risk

2024

Comparing Human-Centered Language Modeling: Is it Better to Model Groups, Individual Traits, or Both?

arXiv preprint arXiv:2401.12492

2024/1/23

Predicting US county opioid poisoning mortality from multi-modal social media and psychological self-report data

Scientific reports

2023/6/3

Systematic evaluation of gpt-3 for zero-shot personality estimation

Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis

2023/7

Human-centered metrics for dialog system evaluation

arXiv preprint arXiv:2305.14757

2023/5/24

Characterizing empathy and compassion using computational linguistic analysis.

Emotion

2023/5/18

The text-package: An R-package for analyzing and visualizing human language using natural language processing and transformers.

Psychological Methods

2023/5/1

Opioid death projections with AI-based forecasts using social media language

npj Digital Medicine

2023/3/8

Depression and anxiety on Twitter during the COVID-19 stay-at-home period in 7 major US cities

AJPM focus

2023/3/1

Robust language-based mental health assessments in time and space through social media

arXiv preprint arXiv:2302.12952

2023/2/25

The Role of Negative Affect in Shaping Populist Support: Converging Evidence from the Field

2024/1/24

Filling in the white space: Spatial interpolation with Gaussian processes and social media data

Current research in ecological and social psychology

2023/1/1

Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge

2023

See List of Professors in H. Andrew Schwartz University(Stony Brook University)

Co-Authors

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