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Hi All, I need to normalize/scale string variable which represents interests of customers (e.g., 'cycling, rollerblading, swimming' etc). Does anybody know how to do this, I want then use it along with other numeric variables for SVM classification. Appreciate for any advice. -Alex [[alternative HTML version deleted]]

Dear All, I need to estimate the level of similarity of two strings. For example: string1 <- c("depending","audience","research", "school"); string2 <- c("audience","push","drama","button","depending"); The words in string may occur in different order though. What function would you recommend to use

Hi All, Here is the case. I want to build classification model (SVM). Some of variables for this model are categorical attributes which represent words (usually 3-10 words - query for search in google). For example: search_id | query_words |..| result -----------+----------------------------------+--+-------- 1 | how,to,grow,tree |..| 4 2

Dear All, Let's suppose there's a case when you want to make a prediction using range of variables. Some variables are represented as set of words (tokens). For example there is a training set: x1,x2,..,x7, y where y - to be predicted (despite of the model to be used for prediction), and let's say: x4 - variable which presented as words from google search query (number of words may be