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Probabilistic Topic Modeling in Multilingual Settings: A Short Overview of Its Methodology and Applications
Published on Jan 11, 20135358 Views
Probabilistic topic models are unsupervised generative models that model document content as a two-step generation process, i.e., documents are observed as mixtures of latent topics, while topics are
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Chapter list
Probabilistic Topic Modeling in Multilingual Settings00:00
Probabilistic Topic Models (PTMs)00:18
Introduction to PTMs - 101:33
Introduction to PTMs - 202:18
What about Multilingual Data? - 103:16
What about Multilingual Data? - 204:45
Multilingual Topic Models - 106:17
Multilingual Topic Models - 207:30
Example Model – Bilingual LDA 08:43
Applications09:43
1. Cross-Lingual News Clustering - 110:11
1. Cross-Lingual News Clustering - 210:43
2. Cross-Lingual Document Classification - 111:21
2. Cross-Lingual Document Classification - 212:13
3. Cross-Lingual Semantic Word Similarity13:20
4. Cross-Lingual Information Retrieval - 114:49
4. Cross-Lingual Information Retrieval - 215:24
4. Cross-Lingual Information Retrieval - 315:47
Conclusion16:41