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Machine Learning for Language Technology Lecture 5: Bayesian Classifica3on
Marina San3ni Department of Linguis3cs and Philology Uppsala University, Uppsala, Sweden
Autumn 2014
Acknowledgement: Thanks to Prof. Joakim Nivre for course design and materials
Bayesian Classifica3on (i)
Bayesian Classifica3on (ii)
Instance APributes
Ex: Spam Filtering
Naive Bayes Classifiers
Modeling
Inference
Learning (i)
Learning (ii)
Learning (iii)
Evalua3on (i)
Evalua3on (ii)
Mul3-‐Class Classifica3on
Naive Bayes in NLP
Tips and Tricks
The end
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