Patent ID: 9386107
Filing Date: 2016-07-05
CPC Classification: G06F,G06Q,H04L

Claim Text:
1. A computer-implemented method comprising: obtaining, by one or more configured computing systems and via electronic interactions over one or more computer networks, information from social networking sites including a plurality of textual comments that are supplied by human users to the social networking sites over multiple prior time periods; determining, by the one or more configured computing systems, multiple topics associated with a specified content category based on contents of the plurality of textual comments, by: analyzing, by the one or more configured computing systems, and for each of the multiple prior time periods, multiple textual comments from the plurality that are supplied by human users during the prior time period to identify a quantity of the multiple textual comments having contents that mention an indicated one of the determined multiple topics; matching, by the one or more configured computing systems, the identified quantities for the multiple prior time periods to a first portion of a defined prediction template having information representing changes in quantity over time; predicting, by the one or more configured computing systems, expected quantities of future textual comments that will be supplied during multiple future time periods and will be associated with the indicated one topic, the predicting being based at least in part on a second portion of the defined prediction template that is distinct from the first portion; and providing, by the one or more configured computing systems and via additional electronic interactions over the one or more computer networks, information to one or more recipients that includes indications of the predicted expected quantities of the future textual comments.