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Text mining: Predictive models for text
Document Classification ,[object Object]
Classification Techniques ,[object Object],[object Object],[object Object],[object Object]
K-nearest neighbor algorithm ,[object Object],[object Object],[object Object],[object Object]
K-nearest neighbor algorithm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Advantages ,[object Object],[object Object]
DRAWBACKS ,[object Object]
Decision trees Decision trees are popular for pattern recognition because the models they produce are easier to understand. Root node A A B B B B ,[object Object],[object Object],[object Object],C
Binary decision trees ,[object Object],[object Object]
Linear decision trees ,[object Object]
Probabilistic  model-Naive Bayes classifier ,[object Object],[object Object],[object Object]
Parameter estimation ,[object Object],[object Object],[object Object]
Constructing a classifier from the probability model ,[object Object],[object Object],[object Object]
Performance Evaluation ,[object Object],[object Object],[object Object],[object Object]
Performance Evaluation ,[object Object],[object Object],[object Object],[object Object]
Performance Evaluation ,[object Object],[object Object],[object Object]
Applications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object]
Visit more self help tutorials ,[object Object],[object Object],[object Object]

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Textmining Predictive Models