LIWC-22

Gold definitionUpdated Apr 2, 2026

LIWC-22 is the latest iteration of the Linguistic Inquiry and Word Count program, a widely adopted computational tool for analyzing textual data. Its core mechanism involves scanning text against a comprehensive dictionary of words and word stems, which are meticulously categorized into various psychological, social, and linguistic dimensions (e.g., 'affective processes,' 'cognitive processes,' 'social processes,' 'personal concerns'). By calculating the percentage of words in a given text that belong to each category, LIWC-22 provides quantitative insights into the underlying psychological states, personality traits, and social dynamics expressed by the author or speaker. This tool is crucial because it offers an objective and scalable method for analyzing subjective human expression, enabling large-scale studies in fields such as psychology, communication, sociology, and increasingly, in computational linguistics and AI. Researchers and ML engineers utilize LIWC-22 for tasks like sentiment analysis, deception detection, and as a 'lightweight signal' to augment neural models for complex tasks such as human value detection in text, as highlighted in recent research.

Key Aspects of LIWC-22

Lexicon-Based Analysis: LIWC-22 operates on a dictionary-based approach, where thousands of words and word stems are pre-assigned to specific psychological and linguistic categories. This allows for systematic identification and quantification of various textual features.
Quantitative Output: The tool generates numerical scores, typically percentages, indicating the prevalence of words from each category within a given text. These quantitative metrics enable statistical analysis and comparison across different texts or groups.
Psychological and Linguistic Categories: LIWC-22's categories are designed to capture a broad spectrum of human experience, from emotional expression (e.g., positive/negative emotions) and cognitive styles (e.g., insight, causation) to social concerns (e.g., family, friends) and basic linguistic features.

How LIWC-22 Works

Word Matching and Counting: The software processes text by matching individual words or word stems against its internal dictionary. For each match, it increments a counter for the corresponding LIWC-22 category or categories, as words can belong to multiple groups.

At a glance

Executive summary

LIWC-22 is a software that analyzes text to quantify psychological and social aspects by counting specific word categories. It helps researchers understand emotions, thinking styles, and social concerns expressed in writing. This tool can also be used to improve AI models' ability to detect complex human attributes like values in text.

TL;DR

LIWC-22 is a program that counts different types of words in text to reveal psychological insights and can help AI understand human values.

Key points

Counts words in predefined psychological, social, and linguistic categories to quantify textual features.
Solves the problem of objectively measuring subjective human expression and psychological states in text.
Used by psychologists, communication researchers, computational linguists, and AI engineers for feature engineering.
Provides interpretable, lexicon-based features, complementing or enhancing complex deep learning models.
Increasingly used as a 'lightweight signal' to augment neural networks for nuanced text analysis tasks like value detection.

Use cases

**Psychological Research**: Analyzing social media posts to identify indicators of depression, anxiety, or emotional well-being over time.
**Communication Studies**: Examining political speeches or news articles to detect persuasive language, emotional tone, or ideological leanings.
**AI Feature Engineering**: Providing interpretable linguistic and psychological features to improve machine learning models for sentiment analysis, deception detection, or human value detection, as per the abstract.
**Clinical Assessment**: Tracking changes in patients' cognitive patterns or emotional states through their written narratives in therapy sessions.
**Digital Humanities**: Analyzing historical texts or literary works to infer authors' psychological states, cultural values, or societal trends.

Also known as

LIWC, Linguistic Inquiry and Word Count