12. The system according to claim 10 , further comprising a parser module coupled to said token analysis module, said parser module to parse said event to obtain at least one event unit.
10. A system for automated classification of events, said system comprising: at least one database for storing a plurality of keywords and categories associated with said keywords and for storing a set of statistical parameters, based on past analysis of events, for keywords and said categories associated with said keywords, wherein said statistical parameters comprise ambiguity parameter values of said keywords and statistical probabilities that said keywords and said categories dominate one or more other of said keywords and said categories; and an event categorization platform, comprising processor and memory, to receive at least one event, wherein said event comprises on-line activity between said user and said entity and to determine a plurality of event units from said event, said event categorization platform comprising: a token analysis module coupled to said database, said token analysis module to retrieve a plurality of keywords from said database, each retrieved keyword matching a corresponding event unit, to identify a category associated with each of said keywords retrieved, to select a dominant keyword from said keywords retrieved based on said statistical parameters by using said at least one keyword category and an ambiguity parameter value calculated for said each keyword as a factor of a conditional probability that said at least one keyword category is associated with said dominant keyword and to categorize said event based on a category associated with said dominant keyword, wherein said category for said event identifies primary subject matter for said event, wherein said token analysis module is further configured to selecting said dominant keyword based on said at least one keyword category and an ambiguity parameter value; and an ambiguity processing module coupled to said token analysis module, said ambiguity processing module to calculate said ambiguity parameter value for said each keyword as a factor of a conditional probability that said at least one keyword category is associated with said dominant keyword.