Find the most related webpage out of 7 webpage collection per given 7 user given topics below: Construct a document vector with the 7 given topics below with their frequency count for each topic word in the following 6 webpages. The 7 terms for topics are the following 4 keywords and 3 phrases (bi-grams) as below. User Search Topic Terms: research, data, mining, analytics, data mining, machine learning, deep learning Doc1: https://en.wikipedia.org/wiki/Machine_learning Doc2: https://en.wikipedia.org/wiki/Engineering Doc3: http://my.clevelandclinic.org/research Doc4: https://en.wikipedia.org/wiki/Data_mining Doc5: https://en.wikipedia.org/wiki/Data_mining#Data_mining Doc6: http://cis.csuohio.edu/~sschung/
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Find the most related webpage out of 7 webpage collection per given 7 user given topics below: Construct a document vector with the 7 given topics below with their frequency count for each topic word in the following 6 webpages. The 7 terms for topics are the following 4 keywords and 3 phrases (bi-grams) as below. User Search Topic Terms: resear…
poojakhatri8336/Preprocessing-to-Build-Document-Vectors-for-Web-Page-Content-Analysis-
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Find the most related webpage out of 7 webpage collection per given 7 user given topics below: Construct a document vector with the 7 given topics below with their frequency count for each topic word in the following 6 webpages. The 7 terms for topics are the following 4 keywords and 3 phrases (bi-grams) as below. User Search Topic Terms: resear…
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