Cited by 2,624Mental Health via WritingAuthorship Attribution and ProfilingComputational and Text Analysis Methods

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Psychological Aspects of Natural Language Use: Our Words, Our Selves

Pennebaker, James W., Mehl, Matthias R., Niederhoffer, Kate G.·2003·Annual Review of Psychology

DOI 10.1146/annurev.psych.54.101601.145041

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Abstract

The words people use in their daily lives can reveal important aspects of their social and psychological worlds. With advances in computer technology, text analysis allows researchers to reliably and quickly assess features of what people say as well as subtleties in their linguistic styles. Following a brief review of several text analysis programs, we summarize some of the evidence that links natural word use to personality, social and situational fluctuations, and psychological interventions. Of particular interest are findings that point to the psychological value of studying particles—parts of speech that include pronouns, articles, prepositions, conjunctives, and auxiliary verbs. Particles, which serve as the glue that holds nouns and regular verbs together, can serve as markers of emotional state, social identity, and cognitive styles.

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Authors: Pennebaker, J. W., Mehl, M. R., & Niederhoffer, K. G.
Affiliations: The University of Texas at Austin (US)
ORCID: Pennebaker, James W.
Mehl, Matthias R.
Niederhoffer, Kate G.
Venue: Annual Review of Psychology
Publisher: Annual Reviews
Published: 2003-02
Volume: 54
Issue: 1
Pages: 547-577
ISSN: 0066-4308 (ISSN-L)
1545-2085
DOI: 10.1146/annurev.psych.54.101601.145041
OpenAlex: W2100772444
Cited by: 2,624
References: 137
Citations by year: 2026: 158 · 2025: 149 · 2024: 167 · 2023: 174 · 2022: 166 · 2021: 159 · 2020: 165 · 2019: 163 · 2018: 157 · 2017: 139 · 2016: 151 · 2015: 129 · 2014: 136 · 2013: 97 · 2012: 116
FWCI: 3.94
Type: journal article
Language: en
Open access: closed
Locations: Annual Review of Psychology (publishedVersion)
PubMed (publishedVersion)
CLOK (University of Central Lancashire) (submittedVersion)
Funders: National Institute of Mental Health (R01MH052391, MH52391)
Topics: Social Sciences › Psychology › Social Psychology › Mental Health via Writing
Physical Sciences › Computer Science › Artificial Intelligence › Authorship Attribution and Profiling
Social Sciences › General Social Sciences › Computational and Text Analysis Methods
Keywords: natural language use, text analysis, personality, language style, particles, parts of speech, pronouns, prepositions, auxiliary verbs, emotional state, social identity, cognitive style, psychological intervention, self-representation
MeSH terms: Artificial Intelligence, Emotions, Health Status, Humans, Individuality, Interpersonal Relations, Mental Health, Natural Language Processing, Personality, Psycholinguistics, Semantics, Social Environment, Verbal Behavior

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Psychological Aspects of Natural Language Use: Our Words, Our Selves

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