I have measured the frequency of terms within the same period (say 14 days), and I wish to use Standard Deviation to calculate their burstiness (i.e. which terms are more spiky), therefore, if a term is constantly high count but due to their low spike, the burstiness hould be still low.
I used Standard Deviation (SD) to calculate but the score came up quite high, if I normalised the frequency using the max frequency then the significance is not big. Therefore, my questions are:
(i) Is SD a correct method to use? Or there are other better ways? (ii) Is there any function to make the score more meaningful and understandable?