Topic: probabilistic model

Confusion: 1731.38

The confusion of a topic is the average number of confusion (play/pause/seek) events per minute across lecture video segments which cover the given topic.

Word Distribution (Ranked by φ)

Relevant Lectures

• 1.8 Paradigmatic Relation Discovery Part 1 (00:14:31) (11 minutes)
• 4.9 Contextual Text Mining: Mining Topics with Social Network Context (00:14:43) (6 minutes)
• 1.9 Paradigmatic Relation Discovery Part 2 (00:17:53) (6 minutes)
• 2.10 Probabilistic Topic Models: Expectation-Maximization Algorithm: Part 1 (00:11:05) (4 minutes)
• 4.2 Opinion Mining and Sentiment Analysis: Sentiment Classification (00:11:47) (4 minutes)
• 2.11 Probabilistic Topic Models: Expectation-Maximization Algorithm: Part 2 (00:10:39) (3 minutes)
• 1.7 Word Association Mining and Analysis (00:15:39) (3 minutes)
• 2.3 Topic Mining and Analysis: Probabilistic Topic Models (00:14:17) (3 minutes)
• 2.6 Probabilistic Topic Models: Mining One Topic (00:12:21) (3 minutes)
• 1.5 Text Representation: Part 1 (00:10:46) (2 minutes)
• 4.11 Course Summary (00:18:36) (2 minutes)
• 1.13 Syntagmatic Relation Discovery: Mutual Information: Part 2 (00:09:42) (2 minutes)
• 2.2 Topic Mining and Analysis: Term as Topic (00:11:31) (2 minutes)
• 2.4 Probabilistic Topic Models: Overview of Statistical Language Models: Part 1 (00:10:25) (2 minutes)
• 2.5 Probabilistic Topic Models: Overview of Statistical Language Models: Part 2 (00:13:11) (2 minutes)
• 1.3 Natural Language Content Analysis: Part 1 (00:12:48) (1 minutes)
• 1.6 Text Representation: Part 2 (00:09:29) (1 minutes)
• 1.12 Syntagmatic Relation Discovery: Mutual Information: Part 1 (00:13:55) (1 minutes)
• 2.1 Topic Mining and Analysis: Motivation and Task Definition (00:07:36) (1 minutes)
• 2.9 Probabilistic Topic Models: Mixture Model Estimation: Part 2 (00:08:15) (1 minutes)