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The psychological meaning of words: LIWC and computerized text analysis methods

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TLDR
The Linguistic Inquiry and Word Count (LIWC) system as discussed by the authors is a text analysis system that counts words in psychologically meaningful categories to detect meaning in a wide variety of experimental settings, including to show attentional focus, emotionality, social relationships, thinking styles and individual differences.
Abstract
We are in the midst of a technological revolution whereby, for the first time, researchers can link daily word use to a broad array of real-world behaviors. This article reviews several computerized text analysis methods and describes how Linguistic Inquiry and Word Count (LIWC) was created and validated. LIWC is a transparent text analysis program that counts words in psychologically meaningful categories. Empirical results using LIWC demonstrate its ability to detect meaning in a wide variety of experimental settings, including to show attentional focus, emotionality, social relationships, thinking styles, and individual differences.

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CONSTRUCCIÓN DE PAZ EN EL POSACUERDO:
AVANCES, TENSIONES Y DESAFÍOS


Diana Rico Revelo
Iván Felipe Medina-Arboleda
(Compiladores)
CONSTRUCCIÓN DE PAZ EN EL POSACUERDO:
AVANCES, TENSIONES Y DESAFÍOS
Área Metropolitana de Barranquilla
Colombia, 2020

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References
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Journal ArticleDOI

Measuring individual differences in implicit cognition: The implicit association test.

TL;DR: An implicit association test (IAT) measures differential association of 2 target concepts with an attribute when instructions oblige highly associated categories to share a response key, and performance is faster than when less associated categories share a key.
Book

The psychology of physical symptoms

TL;DR: In this paper, the authors discuss the relationship between symptoms and emotions and propose a Schema-directed search for the Symptom-Emotion link to understand the emotional-symptom link.
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