28. A system, comprising: one or more processors of one or more computing systems; and one or more memories including stored instructions that, when executed by at least one of the one or more processors, cause the at least one processor to: obtain, via electronic interactions over one or more computer networks, information from one or more network-accessible sites including a plurality of textual comments that are supplied by multiple users to the one or more network-accessible sites over multiple prior time periods and that are related to multiple topics; analyze, for each of the multiple prior time periods, multiple textual comments from the plurality that are for the prior time period and identify a subset of the multiple textual comments whose contents are associated with a specified content category; determine, for each of the multiple prior time periods, an actual quantity of the identified textual comments for the prior time period that are associated with an indicated topic from the multiple topics; predict, for each of multiple future time periods, an expected quantity of future textual comments associated with the indicated topic that will be supplied by users during the future time period, the predicting being based at least in part on the determined actual quantities for the multiple prior time periods and by using a first defined template representing a first set of changes in quantity over time; generate, from the determined actual quantities for the multiple prior time periods, a new defined template that includes the determined actual quantities for the multiple prior time periods and that represents a second set of changes in quantity of textual comments over time; provide, via additional electronic interactions over the one or more computer networks, information to one or more recipients that includes, for each of one or more of the multiple future time periods, an indication of the predicted expected quantity of future textual comments for the future time period; and use, at a later time after the generating of the new defined template, the new defined template to provide additional predictions of expected future quantities of textual comments for additional future time periods based on additional actual quantities of textual comments received preceding the additional future time periods.
28. A system, comprising: one or more processors of one or more computing systems; and one or more memories including stored instructions that, when executed by at least one of the one or more processors, cause the at least one processor to: obtain, via electronic interactions over one or more computer networks, information from one or more network-accessible sites including a plurality of textual comments that are supplied by multiple users to the one or more network-accessible sites over multiple prior time periods and that are related to multiple topics; analyze, for each of the multiple prior time periods, multiple textual comments from the plurality that are for the prior time period and identify a subset of the multiple textual comments whose contents are associated with a specified content category; determine, for each of the multiple prior time periods, an actual quantity of the identified textual comments for the prior time period that are associated with an indicated topic from the multiple topics; predict, for each of multiple future time periods, an expected quantity of future textual comments associated with the indicated topic that will be supplied by users during the future time period, the predicting being based at least in part on the determined actual quantities for the multiple prior time periods and by using a first defined template representing a first set of changes in quantity over time; generate, from the determined actual quantities for the multiple prior time periods, a new defined template that includes the determined actual quantities for the multiple prior time periods and that represents a second set of changes in quantity of textual comments over time; provide, via additional electronic interactions over the one or more computer networks, information to one or more recipients that includes, for each of one or more of the multiple future time periods, an indication of the predicted expected quantity of future textual comments for the future time period; and use, at a later time after the generating of the new defined template, the new defined template to provide additional predictions of expected future quantities of textual comments for additional future time periods based on additional actual quantities of textual comments received preceding the additional future time periods. 38. The system of claim 28 wherein the plurality of textual comments are supplied by human users from a plurality of geographical locations, and wherein the stored instructions include software instructions that, when executed by the at least one processor, further cause the at least one processor to: determine, based at least in part on a first subset of the plurality of textual comments that are associated with a first geographical location of the plurality of geographical locations, an increase or a decrease in a first quantity of textual comments in the first subset relative to a second quantity of textual comments in a second subset of the plurality of textual comments that are associated with one or more other second geographical locations of the plurality of geographical locations; and provide one or more indications of the first geographical location and of the determined increase or decrease.