ArticlePsychological methods2023
The text-package: An R-package for analyzing and visualizing human language using natural language processing and transformers.
Article in Psychological methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
19 citing papers in PubMed, 55 citations in OpenAlex.
- Assessing the Need for Mental Health Support From Free-Text Responses: Development and Validation of Language-Based Assessments in Adults With Internalizing Symptoms.JMIR mental health · 2026Article
- Natural Language Response Formats for Assessing Depression and Worry With Large Language Models: A Sequential Evaluation With Model Pre-Registration.Assessment · 2026Article
- Brief speech samples reveal emotional states in daily life.PNAS nexus · 2026Article
- Measuring complex constructs in large-scale text with computational social mixed methods.Behavior research methods · 2026Article
- The properties of personal semantics.Memory & cognition · 2026Article
- Swedish Well-Being: The rising importance of age among demographic, personality, and social relationship factors.SSM - population health · 2026Article
- Language-based assessments can predict psychological and subjective well-being.Communications psychology · 2026Article
- Advancing psychological assessment: quantifying self-compassion through free-text responses and language model BERT.Scientific reports · 2025Article
- Automatic implicit motive codings are at least as accurate as humans' and 99% faster.Journal of personality and social psychology · 2025Article
- Opening the contextual black box: a case for idiographic experience sampling of context for clinical applications.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Article
- Blue Zone Loma Linda: Assessing the Relationship Between Lifestyle and Oral Health.American journal of lifestyle medicine · 2024Article
- Beyond rating scales: With targeted evaluation, large language models are poised for psychological assessment.Psychiatry research · 2024Review
- Disentangling boredom from depression using the phenomenology and content of involuntary autobiographical memories.Scientific reports · 2024Article
- A computational text analysis investigation of the relation between personal and linguistic agency.Communications psychology · 2023Article
- Know Thyself! Predicting Subjective Well-Being from personality estimation discrepancy and self-insight.Current psychology (New Brunswick, N.J.) · 2022Article
- Natural language analyzed with AI-based transformers predict traditional subjective well-being measures approaching the theoretical upper limits in accuracy.Scientific reports · 2022Article
- Article
- Computational Language Assessments of Harmony in Life - Not Satisfaction With Life or Rating Scales - Correlate With Cooperative Behaviors.Frontiers in psychology · 2021Article
- Freely Generated Word Responses Analyzed With Artificial Intelligence Predict Self-Reported Symptoms of Depression, Anxiety, and Worry.Frontiers in psychology · 2021Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
Abstract
The language that individuals use for expressing themselves contains rich psychological information. Recent significant advances in Natural Language Processing (NLP) and Deep Learning (DL), namely transformers, have resulted in large performance gains in tasks related to understanding natural language. However, these state-of-the-art methods have not yet been made easily accessible for psychology researchers, nor designed to be optimal for human-level analyses. This tutorial introduces text (https://r-text.org/), a new R-package for analyzing and visualizing human language using transformers, the latest techniques from NLP and DL. The text-package is both a modular solution for accessing state-of-the-art language models and an end-to-end solution catered for human-level analyses. Hence, text provides user-friendly functions tailored to test hypotheses in social sciences for both relatively small and large data sets. The tutorial describes methods for analyzing text, providing functions with reliable defaults that can be used off-the-shelf as well as providing a framework for the advanced users to build on for novel pipelines. The reader learns about three core methods: (1) textEmbed(): to transform text to modern transformer-based word embeddings; (2) textTrain() and textPredict(): to train predictive models with embeddings as input, and use the models to predict from; (3) textSimilarity() and textDistance(): to compute semantic similarity/distance scores between texts. The reader also learns about two extended methods: (1) textProjection()/textProjectionPlot() and (2) textCentrality()/textCentralityPlot(): to examine and visualize text within the embedding space. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.