Predicting future trending topics

A non-transitory computer-readable storage medium storing instructions that, when executed by a computing system, cause the computing system to perform operations for identifying one or more future trending n-grams, the operations comprising:

• for at least one particular content item of multiple content items:
• identifying a plurality of classifications for the particular content item, the plurality of classifications includes a geographical region classification and a subject-based classification;
• organizing text associated with the particular content item into one or more n-grams;
• adding, from the one or more n-grams into to a cumulative set of n-grams, at least one n-gram;
• computing a frequency value for each unique n-gram in the cumulative set of n-grams, the frequency value computed for a frequency within the group of n-grams in the cumulative set of n-grams that have the same one or more classifications;
• computing a predicted change in frequency value for at least some of the unique n-grams, the computing for a given n-gram comprising fitting a polynomial to time-based values associated with the n-grams in the cumulative set that have the same sequence of words as the given unique n-gram and that have the same one or more classifications as the given unique n-gram, wherein the computed change in frequency is a slope of the polynomial at a point corresponding to a current time;
• and
• selecting, as the future trending n-grams, for a geographical region specified in the geographical region classification, one or more n-grams with a predicted change in frequency value above a predicted change threshold.