Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a survey

Understand

Topic modeling is one of the most powerful techniques in text mining for data mining, latent data discovery, and finding relationships among data, text documents.

• Researchers have published many articles in the field of topic modeling and applied in various fields such as software engineering, political science, medical and linguistic science, etc.
• There are various methods for topic modeling, which Latent Dirichlet allocation (LDA) is one of the most popular methods in this field.
• Researchers have proposed various models based on the LDA in topic modeling.