Search
Now showing items 1-2 of 2
A Survey of Topic Model Inference Techniques
(International Journal of Computer and Information Technology, 2018)
— Latent Dirichlet Allocation (LDA) is a probabilistic
topic model that aims at organizing, visualizing, summarizing,
searching, predicting and understanding the content of any given
text data. The model enables users ...
Quadratic Approach for Fast Topic Selection in Modelling Big Text Analytics
(International Journal of Advancements in Computing Technology, 2018)
One challenging issue in application of Latent Dirichlet Allocation (LDA) is to select the optimal number of
topics which must depend on both the corpus itself and user modeling goals. This paper presents a topic
selection ...