Lectures related to Topic model

Text Data Analysis: Basics and Techniques

Introduces the basics of text data analysis, covering document retrieval, classification, sentiment analysis, and topic detection using preprocessing techniques and machine learning models.

Text Data Analysis: Techniques and Applications

Explores handling text data, deriving clean datasets from unstructured text, and various text analysis techniques.

Text Data Processing: Basics & Techniques

Introduces the basics of text data processing, covering document retrieval, classification, sentiment analysis, and topic detection.

Deep Generative Models

Covers deep generative models, including LDA, autoencoders, GANs, and DCGANs.

Latent Tree Learning

Explores latent tree learning, covering node properties, sibling relationships, and algorithmic structure.