1967
DOI: 10.2307/2092070
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The General Inquirer: A Computer Approach to Content Analysis.

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Cited by 41 publications
(35 citation statements)
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“…[10] demonstrates popular hand-composed lexicons used for sentiment analysis. This predominantly includes six lexicons, namely: Vader [11], AFINN [12], Emotion Lexicon [13], Bing Liu's Lexicon [14], MPQA Lexicon [15], and General Inquirer [16]. However, compiling such a lexicon is labor intensive and might only cover some of the words from the corpus that represent or indicate some sentiment.…”
Section: Category Based Embedding (Cbe)mentioning
confidence: 99%
“…[10] demonstrates popular hand-composed lexicons used for sentiment analysis. This predominantly includes six lexicons, namely: Vader [11], AFINN [12], Emotion Lexicon [13], Bing Liu's Lexicon [14], MPQA Lexicon [15], and General Inquirer [16]. However, compiling such a lexicon is labor intensive and might only cover some of the words from the corpus that represent or indicate some sentiment.…”
Section: Category Based Embedding (Cbe)mentioning
confidence: 99%
“…The output score indicates the extent to which the text contains the construct of interest (e.g., the number of positive emotion words). Examples of the closed-vocabulary approach are the General Inquirer (Stone et al, 1966), the Medical Research Council psycholinguistic database (MRC; Wilson, 1988), the Honesty-Humility, Emotionality, eXtraversion, Agreeableness, Conscientiousness, Openness to Experience (HEXACO) text-to-personality technique (HTTP; Holtrop et al, 2022), but by far the most popular approach is LIWC, which, at the time of writing this article, counts a little more than 10,000 citations in Google Scholar. Since the goal of the present meta-analysis is to identify the linguistic markers of personality, and since a large number of LIWC studies has already been accumulated, we opted to meta-analyze the results of LIWC research.…”
Section: Text-based Personality Assessment and The Liwcmentioning
confidence: 99%
“…One explanation for the relation between self-reported personality traits and linguistic categories is that word frequency reflects what individuals are paying attention to (Baldwin, 1942;Boyd & Schwartz, 2021;Stone et al, 1966). That is, individuals thinking, for example, about "death, sex, money, or friends will refer to them in their writing or conversation" (Tausczik and Pennebaker, 2010, p. 30; see same reference for a summary of empirical findings on "words as attention").…”
Section: Liwc and Personality Traitsmentioning
confidence: 99%
“…The other is a computer‐based approach that uses multivariate analysis to automatically identify and classify groups of words that frequently appear in the same document or groups of documents that contain many common words 13,14 . The latter method of computer‐based text mining has been employed since its use was first reported in 1966, 15 with the rapid developments in computer performance. In particular, this method of large data analysis has been developed and widely used in the commercial field for various purposes, such as understanding customer needs 16 .…”
Section: Introductionmentioning
confidence: 99%