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

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
Main Authors: Youngjae Im, Jaehyun Park, Minyeong Kim, Kijung Park
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Applied Sciences
Subjects:
latent dirichlet allocation (lda)
sentiment analysis (sa)
topic modeling
affective level
Online Access:https://www.mdpi.com/2076-3417/9/21/4565

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