The Use of Sentiment Analysis and Latent Dirichlet Allocation Topic-Modeling (LDA) on Web Novel Content Quality Factor
Journal of System and Management Sciences · 2022
In the content market of Korea, writers and producers of web novel contents have put more a lot of efforts into planning and creating well-selling web novel contents.They want to hire well-trained web novel content planners or user consumption analysis experts to utilize them for planning and creating web novel contents.Due to the fast changing market trend in the web novel content market and its practical and financial limitations, the existing traditional method of content creation has met some obstacles.This study conducted a web novel content quality analysis using LDA (Latent Dirichlet Allocation Topic-Modeling) and sentiment Analysis.It uses user-review data and classified data into the positive and the negative using sentiment analysis.In addition, the topics of positive data and negative ones were obtained by using the NLP (Natural Language Processing) model.