Document Categorization Consider the following document-term matrix:

Assume that documents have been manually assigned to two pre-specified categories as follows:

Cat1 = {Doc1, Doc2, Doc5} Cat2 = {Doc3, Doc4, Doc6, Doc7}

Using the K-Nearest-Neighbor approach for document categorization with K = 3 (see notes onDocument Categorization), determine how each of the new documents given below will be classified. Show your steps. Note: Use non-normalized tf*idf weights and cosine similarity when computing similarities.

	T1	T2	T3	T4	T5	T6	T7	T8
Doc8	3	1	0	4	1	0	2	1
Doc9	0	0	3	0	1	5	0	1

Repeat the classification problem above, but this time use the Rocchio-Based vector space model to determine how Doc 8 and Doc 9 given above will be classified. As before, use non-normalized tf*idf weights and cosine similarity when computing similarities.