Comparative Study on Perceived Trust of Topic Modeling Based on Affective Level of Educational Text

Latent dirichlet allocation (LDA) is a representative topic model to extract keywords related to latent topics embedded in a document set. Despite its effectiveness in finding underlying topics in documents, the traditional algorithm of LDA does not have a process to reflect sentimental meanings in...

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Bibliographic Details
Published in:Applied sciences 2019-11, Vol.9 (21), p.4565
Main Authors: Im, Youngjae, Park, Jaehyun, Kim, Minyeong, Park, Kijung
Format: Article
Language:English
Subjects:
Ability tests
affective level
Algorithms
Comparative studies
Data mining
Dirichlet problem
Entrance examinations
Independent variables
Indexing
latent dirichlet allocation (lda)
Mood
Product reviews
Questionnaires
Sentiment analysis
sentiment analysis (sa)
Social networks
Statistical analysis
Subjectivity
topic modeling
Trends
Usability
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Summary:Latent dirichlet allocation (LDA) is a representative topic model to extract keywords related to latent topics embedded in a document set. Despite its effectiveness in finding underlying topics in documents, the traditional algorithm of LDA does not have a process to reflect sentimental meanings in text for topic extraction. Focusing on this issue, this study aims to investigate the usability of both LDA and sentiment analysis (SA) algorithms based on the affective level of text. This study defines the affective level of a given set of paragraphs and attempts to analyze the perceived trust of the methodologies in regards to usability. In our experiments, the text of the college scholastic ability test was selected as the set of evaluation paragraphs, and the affective level of the paragraphs was manipulated into three levels (low, medium, and high) as an independent variable. The LDA algorithm was used to extract the keywords of the paragraph, while SA was used to identify the positive or negative mood of the extracted subject word. In addition, the perceived trust score of the algorithm was evaluated by the subjects, and this study verifies whether there is a difference in the score according to the affective levels of the paragraphs. The results show that paragraphs with low affect lead to the high perceived trust of LDA from the participants. However, the perceived trust of SA does not show a statistically significant difference between the affect levels. The findings from this study indicate that LDA is more effective to find topics in text that mainly contains objective information.
ISSN:2076-3417
2076-3417
DOI:10.3390/app9214565