Open AccessComputerized Text Analysis on Self-Description Text to Get Student’s Prevailing, Confidence, and Drives
Author(s) -
TA Syah,
Any Nurhayaty,
Sigit Apriyanto
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1764/1/012056
Subject(s) - psychology , presentation (obstetrics) , perception , personality , social psychology , dimension (graph theory) , path analysis (statistics) , sample (material) , applied psychology , computer science , medicine , chemistry , mathematics , chromatography , neuroscience , pure mathematics , radiology , machine learning
Using a sample of 26 participants, we asked the students to prepare a text in written self-description at the end of the final path presentation in the sixth semester. One interesting thing is the relationship between personality differences and the types of words that people use. Recent studies covers an observing the relationship between personal qualities and the use of language in creating self-description. Text files are organized for transcription LIWC analysis to calculate the percentage of clout, authentic, and drives that student’s use. The results supported this possibility: LIWC’s clout, authentic, and drives dictionaries can be used as indicators of the student’s prevailing, confidence, motives and needs, we found that when calculated on written text, LIWC scores were connected with language dimension and psychology issues. These findings recommend that LIWC clout, authentic, motives, and needs dictionaries possibly will catch self-reported subjective emotion experience when applied to everyday activities. To enrich students’ confidence, power, motives, and needs toward the psychology issues faced by the students, students should be stimulated to discover the field of psychological processes and linguistic patterns by detecting their emotional and perceptual experiences.