List of Sample Question
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Name 5 application areas of text classification.
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Describe how a rule based classification approach works. What are the advantages and disadvantages of this approach?
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Describe possible linguistic preprocessing steps of statistical classification approaches.
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Describe the Naive Bayes classification approach. Why is it called "naive"?
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Describe how documents can be represented as vectors.
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Name and describe three different weighting schemata for words in document vectors.
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Name and shortly describe (without formulas) three methods for feature selection.
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Describe the Roccio classification approach. What are its advantages and disadvatages?
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Describe the k-nearest neighbors classification approach. What are its advantages and disadvatages?
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Describe the idea of the support vector machine classification approach? What are its advantages and disadvantages?
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Describe the possible results of a binary classification. How can these be used to define evaluation measures?
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Why are precision and recall misleading when examined alone? What are the alternatives?
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What is the best classification approach? Why?
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What is a character-level n-gram and what are its advantages over term n-grams in text classification?
Shallow Processing & NEE
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