Lecturer(s)
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Červa Petr, doc. Ing. Ph.D.
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Šafařík Radek, Ing.
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Žďánský Jindřich, Ing. Ph.D.
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Kynych František, Ing.
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Course content
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Lecture topics: 1. Introduction and data visualization 2. Analysis and text datamining 3. Vector model, TF transformation 4. Text extraction systems 5. Probabilistic and statistical extractive models 6. Feedback for text extraction, web search 7. Evaluation of documents, recommender systems 8. Natural language analysis 9. Syntagmatic relations 10. Analysis of the topic 11. Clustering and categorization of text 12. Sentiment analysis 13. Contextual extraction 14. Pattern search
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Learning activities and teaching methods
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Monological explanation (lecture, presentation,briefing), Self-study (text study, reading, problematic tasks, practical tasks, experiments, research, written assignments)
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Learning outcomes
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Prerequisites
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unspecified
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Assessment methods and criteria
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Combined examination
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Recommended literature
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BERKA, Petr. Dobývání znalostí z databází. 2003. ISBN 80-200-1062-.
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