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MinText
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◄ Lecture 1 - Statistical properties of natural language & corpus representation
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Submission (Deadline: 20th of November)
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Lecture 1 - Statistical properties of natural language & corpus representation
Lab 1 - Instructions
Lab 1 - Solution
Lecture 2 - Supervised text classification
Lecture 3 - Topic modeling & unsupervised text classification
Lab 2 - Instructions
Lab 2 - Solution
Lecture 4 - Representation learning for text mining
Random texts exhibit Zipf's-law-like word frequency distribution
Algorithms for non-negative matrix factorization
Probabilistic topic models
Distributed representations of words and phrases and their compositionality
Lab 1 - Instructions ►