… to the text mining methodology known as “topic modeling.” We summarize the theory and
background of the method and discuss what kinds of things are found by topic models. Using a …

… ) Topic Modeling with LDA to identify key topics covered in the exams. The research
demonstrates the effectiveness of the proposed method in identifying and prioritizing key topics from …

… While modeling may be more efficient … the simplest and most popular topic modeling algorithm,
using e-petition data. With rigorous training and evaluation, 87% of LDA-generated topics …

… This paper starts with the description of a topic model, with a focus on the understanding of
… -topic-word and a biological object (as well as the tasks of a topic model), we categorized the …

… cover the definitions and implementations of topic models. … remains the responsibility of the
human consumer of topic models … of straw (we discuss labeling the topics more in Chapter 3). …

… introduce the Stanford Topic Modeling Toolbox as … preparation. We believe that trust-building
interactions like these have an important role in the future adoption of topic modeling in the …

… for modeling more complex data relationships. We present different topic modeling approaches
… with correlation between topics, the changes of topics over time, as well as the ability to …

… The primary goal of this paper is to explore text mining, extract … two approaches: LDA topic
modelling and sentiment analysis by … Text Preparation is the preparation step before data …

… In this paper we present the ST LDA method for text classification in a semi-supervised
manner with representations based on topic models. The proposed method comprises a semi-…

… the time required for the preparation of educational materials, … The aim of this analysis is to
study the most relevant topics in … and predict the most current themes and their direction in the …