An Analysis of Linguistic Styles by Inferred Age in TV Dramas

2006 ◽  
Vol 99 (2) ◽  
pp. 351-356 ◽  
Author(s):  
Chang H. Lee ◽  
Jongmin Park ◽  
Young Seok Seo
Keyword(s):  
Cognitive Development ◽  
Spoken Language ◽  
Analysis Program ◽  
Word Count ◽  
Negative Stereotypes ◽  
Psychological Variables ◽  
Language Analysis ◽  
Linguistic Inquiry ◽  
Aging People ◽  
The Relationship

A language analysis program, Linguistic Inquiry and Word Count (LIWC), was successful in identifying various psychological variables. This study investigated the relationship between spoken language and age inferred from drama scripts of 162 characters, analyzed by the Korean-LIWC across 4 age categories (10–19, 20–39, 40–59, and 60–79 years). Analysis indicated that younger characters use fewer phrases, morphemes, nouns, auxiliary words, and adverbs than older characters, suggesting less cognitive development of younger characters. In addition, younger characters used less positive words for emotion and achievement than older characters. These data appear contrary to the negative stereotypes of aging people.

Preliminary Analysis of Language Styles in a Sample of Schizophrenics

2007 ◽  
Vol 101 (2) ◽  
pp. 392-394 ◽  
Author(s):  
Chang H. Lee ◽  
Myungju Lee ◽  
Sungwoo Ahn ◽  
Kyungil Kim
Keyword(s):  
Preliminary Analysis ◽  
Language Use ◽  
Emotional Experience ◽  
Analysis Program ◽  
Word Count ◽  
Personal Pronouns ◽  
Normal People ◽  
Language Analysis ◽  
Linguistic Inquiry ◽  
Language Styles

Language use of schizophrenics and normal people was compared by applying the language analysis program, Korean Linguistic Inquiry and Word Count. Participants were asked to write a story about the most emotional experience of their lives on A4 size paper. 28 schizophrenics ( M age: 26 yr.) and 32 normal people (Ai age: 23 yr.) participated. Analysis showed normal people used more words about jobs and achievements and fewer words about sex and food. The schizophrenics used fewer pronouns, personal pronouns, and adverbs than the normal group. Some aspects of clinical mechanism are manifest in language uses.

Distinctive Linguistic Styles in Children with ADHD

2009 ◽  
Vol 105 (2) ◽  
pp. 365-371 ◽  
Author(s):  
Kyungil Kim ◽  
Chang Hwan Lee
Keyword(s):  
Cognitive Processes ◽  
Language Use ◽  
Control Group ◽  
Adhd Group ◽  
Word Count ◽  
Children With Adhd ◽  
Hyperactivity Disorder ◽  
Language Analysis ◽  
Dependent Variables ◽  
Linguistic Inquiry

To assess whether the writing styles of children diagnosed with Attention Deficit Hyperactivity Disorder (ADHD) combined type differ significantly from those of children in a nonclinical control group, writing samples from 17 children with ADHD combined type and 18 children in a nonclinical control group were compared using the language analysis program Korean Linguistic Inquiry and Word Count. These writing samples, produced in response to instructions, served as dependent variables. Analysis showed that children with ADHD used fewer linguistic variables (e.g., sentences, phrases, and morphemes) than the control group. In addition, the ADHD group used fewer words reflecting cognitive processes and fewer pronouns than members of the control group. Also, the ADHD group showed a different pattern in the use of words referring to friends. This study provides preliminary descriptive data on language use among children diagnosed with a main subtype of ADHD.

scholarly journals Machine-translated texts as an alternative to translated dictionaries for LIWC

2021 ◽  
Author(s):  
Peter Boot
Keyword(s):  
Machine Translation ◽  
Text Analysis ◽  
Analysis Program ◽  
Word Count ◽  
Alternative Approach ◽  
Linguistic Inquiry ◽  
Better Than ◽  
Dictionary Translation

Linguistic Inquiry and Word Count (LIWC) is a text analysis program developed by James Pennebaker and colleagues. At the basis of LIWC is a dictionary that assigns words to categories. This dictionary is specific to English. Researchers who want to use LIWC on non-English texts have typically relied on translations of the dictionary into the language of the texts. Dictionary translation, however, is a labour-intensive procedure. In this paper, we investigate an alternative approach: to use Machine Translation (MT) to translate the texts that must be analysed into English, and then use the English dictionary to analyse the texts. We test several LIWC versions, languages and MT engines, and consistently find the machine-translated text approach performs better than the translated-dictionary approach. We argue that for languages for which effective MT technology is available, there is no need to create new LIWC dictionary translations.

scholarly journals Expressions of doubt and trust in online user reviews

2019 ◽  
Author(s):  
Anthony M Evans ◽  
Olga Stavrova ◽  
Hannes Rosenbusch
Keyword(s):  
Conflicts Of Interest ◽  
Online Reviews ◽  
Word Count ◽  
Linguistic Complexity ◽  
Psychological Variables ◽  
User Reviews ◽  
Linguistic Inquiry Word Count ◽  
Online User Reviews ◽  
Linguistic Inquiry

How do expressions of doubt affect trust in online reviews? Previous research leads to conflicting predictions: some studies find that people trust confident advisors more than doubtful advisors, whereas others find doubtful advisors are trusted more, especially when advisors have salient conflicts-of-interest. We tested the effects of doubt in the Yelp Open Dataset (N = 5.9 million user reviews). Reviews were coded using the Linguistic Inquiry Word Count (LIWC) software, which contains two dictionaries related to doubt, tentativeness and (lack of) certainty. Doubtful reviews were more likely to be seen as useful, and this result was robust when controlling for other psychological variables, as well as review length and linguistic complexity. The beneficial consequences of expressing doubt were strongest for positive (5-star) reviews, suggesting that doubt may mitigate concerns about the veracity of overly positive reviews. The present study emphasizes the advantages of expressing doubt.

scholarly journals Descending Bass Schemata and Negative Emotion in Western Song

2020 ◽  
Vol 14 (3-4) ◽  
pp. 167
Author(s):  
Nicholas Shea
Keyword(s):  
Negative Affect ◽  
Popular Music ◽  
Similar Pattern ◽  
Negative Emotion ◽  
Behavioral Study ◽  
Word Count ◽  
Ecological Association ◽  
Linguistic Inquiry ◽  
The Relationship

A descending bass line coordinated with sad lyrics is often described as evoking the "lament" topic—a signal to listeners that grief is being conveyed (Caplin, 2014). In human speech, a similar pattern of pitch declination occurs as air pressure is lost ('t Hart, Collier, & Cohen, 1990) which—coordinated with the premise that sad speech is lower in pitch (Lieberman & Michaels, 1962)—suggests there may be a cognitive-ecological association between descending bass lines and negative emotion more broadly. This study reexamines the relationship between descending bass lines and sadness in songs with lyrics. First, two contrasting repertoires were surveyed: 703 cantata movements by J. S. Bach and 740 popular music songs released ca. 1950–1990. Works featuring descending bass lines were identified and bass lines extracted by computationally parsing scores for bass or the lowest sounding musical line that descends incrementally by step. The corresponding lyrics were then analyzed using the Linguistic Inquiry and Word Count (Pennebaker et al., 2015a, 2015b). Results were not consistent with the hypothesis that descending bass lines are associated with a general negative affect and thus also not specifically with sadness. In a follow-up behavioral study, popular music excerpts featuring a descending bass were evaluated for the features of sad sounds (Huron, Anderson, & Shanahan, 2014) by undergraduate musicians. Here, tempo and articulation, but not interval size as anticipated, were found to be the best predictors of songs with descending bass lines.

scholarly journals Performing Multilingual Analysis With Linguistic Inquiry and Word Count 2015 (LIWC2015). An Equivalence Study of Four Languages

2021 ◽  
Vol 12 ◽  
Author(s):  
Diana Paula Dudău ◽  
Florin Alin Sava
Keyword(s):  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Classification Problem ◽  
Word Count ◽  
Intraclass Correlation Coefficients ◽  
Language Standardization ◽  
Language Analysis ◽  
Linguistic Inquiry ◽  
Parallel Texts ◽  
Large Corpus

Today, there is a range of computer-aided techniques to convert text into data. However, they convey not only strengths but also vulnerabilities compared to traditional content analysis. One of the challenges that have gained increasing attention is performing automatic language analysis to make sound inferences in a multilingual assessment setting. The current study is the first to test the equivalence of multiple versions of one of the most appealing and widely used lexicon-based tools worldwide, Linguistic Inquiry and Word Count 2015 (LIWC2015). For this purpose, we employed supervised learning in a classification problem and computed Pearson's correlations and intraclass correlation coefficients on a large corpus of parallel texts in English, Dutch, Brazilian Portuguese, and Romanian. Our findings suggested that LIWC2015 is a valuable tool for multilingual analysis, but within-language standardization is needed when the aim is to analyze texts sourced from different languages.

scholarly journals POLITICAL DISCOURSE CONTENT ANALYSIS: A CRITICAL OVERVIEW OF A COMPUTERIZED TEXT ANALYSIS PROGRAM LINGUISTIC INQUIRY AND WORD COUNT (LIWC)

2020 ◽  
Vol 1 (9(77)) ◽  
pp. 139-142
Author(s):  
Angelika Yanovets ◽  
Oksana Smal
Keyword(s):  
Content Analysis ◽  
Political Discourse ◽  
Analysis Program ◽  
Word Count ◽  
Linguistic Inquiry Word Count ◽  
Public Consciousness ◽  
Cognitive Information ◽  
Common Technique ◽  
Linguistic Inquiry ◽  
Speech Events

The article examines and analyzes the linguistic and psychological features of political discourse using a computer-based Linguistic Inquiry and Word Count (LIWC) content analysis program to explore the relationship between political discourse and the personality of politicians. As for political discourse, it is perhaps the communicator, the linguistic personality, who plays the most important role in the communication. The linguistic personality of a politician is of particular interest in political discourse content-analysis, since it has the greatest influence on the public consciousness via mass media. Using text as a source of psychological and cognitive information has been gaining popularity. Researchers use a variety of methods to analyze texts, but Linguistic Inquiry Word Count (LIWC) has proved to be the most common technique. The analysis of linguistic patterns of political discourse shows that in the context of political speech events such as media interviews, politicians make a unique choice of lexical units, which can be interpreted as a manifestation of certain personality traits. However, despite the significance of the results, there are clear limitations to the use of computerized methodologies to make political discourse content-analysis, such as the limited interpretive capacity of software to understand pragmatic and contextual use of lexical units.

The Content of Suicide Notes from Attempters and Completers

Crisis ◽  
2007 ◽  
Vol 28 (2) ◽  
pp. 102-104 ◽  
Author(s):  
Lori D. Handelman ◽  
David Lester
Keyword(s):  
Text Analysis ◽  
Positive Emotions ◽  
Analysis Program ◽  
Word Count ◽  
Future Tense ◽  
Suicide Notes ◽  
Program Notes ◽  
Linguistic Inquiry

Abstract. A study of the content of suicide notes from attempted suicides and completed suicides was conducted using the Linguistic Inquiry and Word Count (LIWC) text analysis program. Notes from completed suicides had fewer metaphysical references, more future tense verbs, more social references (to others) and more positive emotions than did the notes from attempted suicides. The implications of these results were discussed.

scholarly journals Sleep maturation influences cognitive development of preterm toddlers

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Akiko Ando ◽  
Hidenobu Ohta ◽  
Yuko Yoshimura ◽  
Machiko Nakagawa ◽  
Yoko Asaka ◽  
...  
Keyword(s):  
Cognitive Development ◽  
Sleep Duration ◽  
Sleep Time ◽  
Brain Maturation ◽  
Sleep Diary ◽  
Sleep Regulation ◽  
Wake Time ◽  
Daytime Nap ◽  
Nighttime Sleep ◽  
The Relationship

AbstractOur recent study on full-term toddlers demonstrated that daytime nap properties affect the distribution ratio between nap and nighttime sleep duration in total sleep time but does not affect the overall total amount of daily sleep time. However, there is still no clear scientific consensus as to whether the ratio between naps and nighttime sleep or just daily total sleep duration itself is more important for healthy child development. In the current study, to gain an answer to this question, we examined the relationship between the sleep properties and the cognitive development of toddlers born prematurely using actigraphy and the Kyoto scale of psychological development (KSPD) test. 101 premature toddlers of approximately 1.5 years of age were recruited for the study. Actigraphy units were attached to their waist with an adjustable elastic belt for 7 consecutive days and a child sleep diary was completed by their parents. In the study, we found no significant correlation between either nap or nighttime sleep duration and cognitive development of the preterm toddlers. In contrast, we found that stable daily wake time was significantly associated with better cognitive development, suggesting that sleep regulation may contribute to the brain maturation of preterm toddlers.

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