1. A sensitive text detecting method, comprising: acquiring a feature text string of a currently detected text; detecting the feature text string according to a finite-state machine established in advance, so as to obtain frequency of occurrence of each keyword in the feature text string, the finite-state machine comprising multiple keywords; calculating, for each keyword category of multiple keyword categories, a weight of the keyword category in the text based on the frequency of occurrence of each keyword corresponding to the keyword category and a preset weight of each keyword; and determining that the text is a sensitive text when the weight of at least one keyword category is greater than a preset threshold.