Psycholinguistics and computational stylometry ontology — constructs, features, indices, protocols, instruments, frameworks, and references for personality-language mapping, voice elicitation, and authorship research.
Psycholinguistic and psychological constructs
Stylometric and linguistic features extracted from text
Research instruments, tools, and platforms
Linguistic and psycholinguistic frameworks
An abstract psycholinguistic or psychological construct measurable via language (e.g. Big Five trait, attachment style)
Style features fall on a spectrum from fully self-reportable, like punctuation preferences, to largely unconscious, like sentence complexity
A personality trait correlates with pronoun and emotion-word usage frequency across a large body of analyzed text
First-person singular pronoun usage is elevated in self-focused, lower-status, or genuinely emotional writing
Construct name (e.g. Openness to Experience)
Parent family (e.g. Big Five, HEXACO, attachment, need-for-cognition)
Primary instrument used to measure this construct (e.g. NEO-PI-R, BFI)
How this construct is operationalized in a text corpus
A quantifiable textual feature used in authorship analysis or style profiling (e.g. type-token ratio, function-word frequency)
Function word frequency remains a robust, largely unconscious marker of authorship that stays stable across topics
The ratio of words used only once in a text indicates a writer's willingness to deploy unique vocabulary
Deep-learning models outperform traditional n-gram methods at identifying an author's fingerprint in short text samples
Feature name (e.g. MATTR, mean sentence length, POS trigram)
Class of feature (lexical, syntactic, character, semantic)
How the feature is computed (tool, algorithm, window size)
Reported effectiveness for authorship discrimination
Key studies or tools establishing this feature
A derived psychometric index or score computed over text or survey responses (e.g. Flesch Reading Ease, LIWC Analytic)
Tree-based models using measurable stylistic features achieve high accuracy distinguishing human from AI-generated text
Two lexical-diversity metrics are considered psychometrically superior to a traditional type-token ratio for measuring vocabulary range
A set of syntactic-complexity indices measures sentence length, subordination, and coordination across four structural dimensions
Index name (e.g. Flesch-Kincaid Grade Level, LIWC Analytic)
Index category (readability, personality, affect, complexity)
Software or platform that computes this index
A structured protocol for eliciting language samples or self-report responses for psycholinguistic analysis
An AI-conducted adaptive interview produces response data comparable in quality to a human-led interview, with longer average responses
A four-stage cognitive model of comprehension, retrieval, judgment, and response mapping explains how respondents process survey questions
Long survey instruments risk significant respondent dropout past a certain length, motivating modular section design and pacing strategies
Protocol name (e.g. Cognitive Interview, Think-Aloud, Voice Elicitation)
How the protocol structures the elicitation
Modality (written, spoken, structured, semi-structured)
Estimated time and cognitive load for respondent
Known validity or reliability constraints
A software tool, survey platform, or analysis package used in psycholinguistic research
An open-source academic package remains the dominant toolkit for computational stylistic analysis, supporting word and character n-gram extraction
A hybrid model combines a psycholinguistic category dictionary with transformer embeddings for interpretable style profiling
A latent-space interpolation approach conditions text generation on an arbitrary writing style from only a few samples
Instrument name (e.g. LIWC-22, stylo R package, APA PsycINFO)
Type (text-analysis-software, survey-platform, corpus-tool, statistical-package)
License or access model (open-source, commercial, academic)
A theoretical or computational framework grounding psycholinguistic research (e.g. LIWC dictionary, Universal Dependencies)
A multidimensional register-analysis framework identifies functional dimensions of text variation through factor analysis of many linguistic features
A literature review of a forensic analysis method identifies persistent unresolved methodological gaps in evidence-strength standards
A survey of personality-detection methods finds transformer-based models now dominate over earlier bag-of-words approaches
Framework name (e.g. LIWC, Universal Dependencies, Systemic Functional Linguistics)
Type (dictionary-based, dependency-grammar, discourse, register)
Lead author(s) or originating institution
How this framework is applied in the research harness
A reference to an existing psycholinguistic or stylometric framework for comparative or reuse analysis
A commercial creative-writing tool calibrates its voice model to only a couple of author writing samples
An enterprise brand-voice platform enforces granular style-guide rules for a large customer base learning brand voice at scale
An AI-text detection tool expanded from binary detection into word- and sentence-level authorship attribution
Basis for comparing with or adopting from this framework
A research instrument measures a psycholinguistic construct, stylometric feature, or psychometric index (RO:0000056 participates-in)
An elicitation protocol operationalizes a psycholinguistic construct, making it empirically observable (RO:0002234 has-output)
A linguistic framework grounds a psycholinguistic construct, providing theoretical or categorical basis (IAO:0000136 is-about)
\b(Big Five|OCEAN|openness|conscientiousness|extraversion|agreeableness|neuroticism|HEXACO|LIWC)\b
\b(TTR|MATTR|MTLD|Flesch|Kincaid|readability|type.token ratio|lexical density)\b
\b(Stylo|Burrows.?s Delta|stylo|Delta method|stylometry|authorship attribution)\b
\b(elicitation|cognitive interview|think.aloud|voice interview|structured elicitation)\b