1. A computerized method for visualization of an interaction categorization, of an at least one interaction captured within an environment, the method comprising: capturing the at least one interaction by a computing platform executing one or more computer applications; receiving definition of at least two categories related to key-phrases and criteria for an interaction to be assigned to the at least two categories; based on the criteria, categorizing the at least one interaction to the at least two categories; determining by machine learning a category network of connections between the at least two categories; extracting an at least one key-phrase from at least one of the at least two categories; determining a key-phrase network; determining a layout for the key-phrase network; and visualizing the category network by the key-phrases.
1. A computerized method for visualization of an interaction categorization, of an at least one interaction captured within an environment, the method comprising: capturing the at least one interaction by a computing platform executing one or more computer applications; receiving definition of at least two categories related to key-phrases and criteria for an interaction to be assigned to the at least two categories; based on the criteria, categorizing the at least one interaction to the at least two categories; determining by machine learning a category network of connections between the at least two categories; extracting an at least one key-phrase from at least one of the at least two categories; determining a key-phrase network; determining a layout for the key-phrase network; and visualizing the category network by the key-phrases. 17. The method of claim 1 wherein categorizing the at least one interaction to the at least two categories is performed automatically.