Introduction to Information Retrieval

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Introduction to Information RetrievalOne-of classification• Run each two-class classifier separately• Assign document to class with:• maximum score• maximum confidence• maximum probability???
Introduction to Information RetrievalSummary: Representation ofText Categorization Attributes• Representations of text are usually very highdimensional (one feature for each word)• High-bias algorithms that prevent overfitting in highdimensionalspace generally work best• For most text categorization tasks, there are manyrelevant features and many irrelevant ones• Methods that combine evidence from many or allfeatures (e.g. naive Bayes, kNN, neural-nets) oftentend to work better than ones that try to isolate justa few relevant features (standard decision-tree orrule induction)**Although the results are a bit more mixed than often thought
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Introduction to Information Retrieval

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