1. A computer-implemented method of generating phrase based categories for interactions recorded at a call center, the method comprising: displaying, using a computer processor, a graphical user interface to a user, the graphical user interface comprising: an input area for the user to input a base category and one or more phrases, for analysis of the base category, and an input area for the user to input a candidate phrase for analysis; obtaining via user input the base category; generating, using the computer processor, a base trend for the base category based on a frequency of appearance of at least one of the one or more phrases in a set of recorded interactions that are specific to the call center, the base trend comprising a series of numbers of interactions per time unit for each of a series of time units, each recorded interaction comprising a text recording of a conversational exchange, wherein at least some of the text recordings are produced via a speech to text process applied to an audio recording; obtaining via user input the candidate phrase; generating, using the computer processor, an accuracy value for the candidate phrase by determining a correlation between: a first candidate trend determined based on the frequency of appearance of the candidate phrase in the set of recorded interactions determined using a first accuracy value; and a second candidate trend determined based on the frequency of appearance of the candidate phrase in the set of recorded interactions determined using a second accuracy value; generating, using the computer processor, a candidate trend for the candidate phrase based on a frequency of appearance of the candidate phrase in the set of recorded interactions determined using the generated accuracy value, each of the candidate trend, the first candidate trend, and the second candidate trend comprising a series of numbers of interactions per time unit for each of a series of time units; calculating, using the computer processor, a correlation level for the candidate trend based on the candidate trend and the base trend, wherein the correlation level quantifies a difference in a behavior of the candidate trend and the base trend; if the correlation level is greater than a threshold level then including, using the computer processor, the candidate phrase in the base category; and displaying to the user the candidate phrase.
3. The method of claim 1 , comprising: including the candidate phrase in the base category based on the input received from the user.